{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据集维度（行数, 列数）: (500, 12)\n",
      "\n",
      "每列的数据类型:\n",
      "ID                      int64\n",
      "Square_Feet           float64\n",
      "Num_Bedrooms            int64\n",
      "Num_Bathrooms           int64\n",
      "Num_Floors              int64\n",
      "Year_Built              int64\n",
      "Has_Garden              int64\n",
      "Has_Pool                int64\n",
      "Garage_Size             int64\n",
      "Location_Score        float64\n",
      "Distance_to_Center    float64\n",
      "Price                 float64\n",
      "dtype: object\n",
      "\n",
      "缺失值情况:\n",
      "ID                    0\n",
      "Square_Feet           0\n",
      "Num_Bedrooms          0\n",
      "Num_Bathrooms         0\n",
      "Num_Floors            0\n",
      "Year_Built            0\n",
      "Has_Garden            0\n",
      "Has_Pool              0\n",
      "Garage_Size           0\n",
      "Location_Score        0\n",
      "Distance_to_Center    0\n",
      "Price                 0\n",
      "dtype: int64\n",
      "\n",
      "前几行数据:\n",
      "   ID  Square_Feet  Num_Bedrooms  Num_Bathrooms  Num_Floors  Year_Built  \\\n",
      "0   1   143.635030             1              3           3        1967   \n",
      "1   2   287.678577             1              2           1        1949   \n",
      "2   3   232.998485             1              3           2        1923   \n",
      "3   4   199.664621             5              2           2        1918   \n",
      "4   5    89.004660             4              3           3        1999   \n",
      "\n",
      "   Has_Garden  Has_Pool  Garage_Size  Location_Score  Distance_to_Center  \\\n",
      "0           1         1           48        8.297631            5.935734   \n",
      "1           0         1           37        6.061466           10.827392   \n",
      "2           1         0           14        2.911442            6.904599   \n",
      "3           0         0           17        2.070949            8.284019   \n",
      "4           1         0           34        1.523278           14.648277   \n",
      "\n",
      "           Price  \n",
      "0  602134.816747  \n",
      "1  591425.135386  \n",
      "2  464478.696880  \n",
      "3  583105.655996  \n",
      "4  619879.142523  \n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# 加载数据集\n",
    "file_path = 'real_estate_dataset.csv'  # 请替换为您的文件路径\n",
    "data = pd.read_csv(file_path)\n",
    "\n",
    "# 检查数据集的维度\n",
    "print(\"数据集维度（行数, 列数）:\", data.shape)\n",
    "\n",
    "# 查看每列的数据类型\n",
    "print(\"\\n每列的数据类型:\")\n",
    "print(data.dtypes)\n",
    "\n",
    "# 检查是否有缺失值\n",
    "print(\"\\n缺失值情况:\")\n",
    "print(data.isnull().sum())\n",
    "\n",
    "# 查看前几行数据\n",
    "print(\"\\n前几行数据:\")\n",
    "print(data.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "描述性统计分析：\n",
      "               ID  Square_Feet  Num_Bedrooms  Num_Bathrooms  Num_Floors  \\\n",
      "count  500.000000   500.000000    500.000000     500.000000  500.000000   \n",
      "mean   250.500000   174.640428      2.958000       1.976000    1.964000   \n",
      "std    144.481833    74.672102      1.440968       0.820225    0.802491   \n",
      "min      1.000000    51.265396      1.000000       1.000000    1.000000   \n",
      "25%    125.750000   110.319923      2.000000       1.000000    1.000000   \n",
      "50%    250.500000   178.290937      3.000000       2.000000    2.000000   \n",
      "75%    375.250000   239.031220      4.000000       3.000000    3.000000   \n",
      "max    500.000000   298.241199      5.000000       3.000000    3.000000   \n",
      "\n",
      "        Year_Built  Has_Garden    Has_Pool  Garage_Size  Location_Score  \\\n",
      "count   500.000000  500.000000  500.000000   500.000000      500.000000   \n",
      "mean   1957.604000    0.536000    0.492000    30.174000        5.164410   \n",
      "std      35.491781    0.499202    0.500437    11.582575        2.853489   \n",
      "min    1900.000000    0.000000    0.000000    10.000000        0.004428   \n",
      "25%    1926.000000    0.000000    0.000000    20.000000        2.760650   \n",
      "50%    1959.000000    1.000000    0.000000    30.000000        5.206518   \n",
      "75%    1988.000000    1.000000    1.000000    41.000000        7.732933   \n",
      "max    2022.000000    1.000000    1.000000    49.000000        9.995439   \n",
      "\n",
      "       Distance_to_Center          Price  \n",
      "count          500.000000     500.000000  \n",
      "mean            10.469641  582209.629529  \n",
      "std              5.588197  122273.390345  \n",
      "min              0.062818  276892.470136  \n",
      "25%              6.066754  503080.344140  \n",
      "50%             10.886066  574724.113347  \n",
      "75%             15.072590  665942.301274  \n",
      "max             19.927966  960678.274291  \n",
      "\n",
      "检查异常值：\n",
      "异常值边界（以Price为例）:\n",
      "最低边界: 258787.40843869327 最高边界: 910235.2369754533\n",
      "      ID  Square_Feet  Num_Bedrooms  Num_Bathrooms  Num_Floors  Year_Built  \\\n",
      "150  151   277.066471             5              2           3        2019   \n",
      "\n",
      "     Has_Garden  Has_Pool  Garage_Size  Location_Score  Distance_to_Center  \\\n",
      "150           1         1           30        9.037576           13.094182   \n",
      "\n",
      "             Price  \n",
      "150  960678.274291  \n"
     ]
    }
   ],
   "source": [
    "# 描述性统计分析\n",
    "print(\"描述性统计分析：\")\n",
    "print(data.describe())\n",
    "\n",
    "# 检查是否有异常值，这里我们可以使用IQR方法\n",
    "Q1 = data.quantile(0.25)\n",
    "Q3 = data.quantile(0.75)\n",
    "IQR = Q3 - Q1\n",
    "\n",
    "# 定义异常值的边界\n",
    "lower_bound = Q1 - 1.5 * IQR\n",
    "upper_bound = Q3 + 1.5 * IQR\n",
    "\n",
    "# 检查异常值\n",
    "print(\"\\n检查异常值：\")\n",
    "print(\"异常值边界（以Price为例）:\")\n",
    "print(\"最低边界:\", lower_bound['Price'], \"最高边界:\", upper_bound['Price'])\n",
    "print(data[(data['Price'] < lower_bound['Price']) | (data['Price'] > upper_bound['Price'])])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# 箱线图：检查异常值\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.boxplot(data=data['Price'])\n",
    "plt.title('Boxplot for Price')\n",
    "plt.show()\n",
    "\n",
    "# 散点图：探索价格与其他特征的关系\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.scatterplot(x='Square_Feet', y='Price', data=data)\n",
    "plt.title('Price vs Square Feet')\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.scatterplot(x='Location_Score', y='Price', data=data)\n",
    "plt.title('Price vs Location Score')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "特征与房价的相关系数：\n",
      "Price                 1.000000\n",
      "Num_Bedrooms          0.561717\n",
      "Square_Feet           0.556499\n",
      "Year_Built            0.412760\n",
      "Num_Floors            0.171352\n",
      "Num_Bathrooms         0.158035\n",
      "Has_Pool              0.131678\n",
      "Has_Garden            0.104519\n",
      "Location_Score        0.063621\n",
      "ID                    0.036424\n",
      "Garage_Size           0.032508\n",
      "Distance_to_Center   -0.002210\n",
      "Name: Price, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# 异常值处理\n",
    "Q1 = data['Price'].quantile(0.25)\n",
    "Q3 = data['Price'].quantile(0.75)\n",
    "IQR = Q3 - Q1\n",
    "lower_bound = Q1 - 1.5 * IQR\n",
    "upper_bound = Q3 + 1.5 * IQR\n",
    "\n",
    "# 过滤异常值\n",
    "filtered_data = data[(data['Price'] >= lower_bound) & (data['Price'] <= upper_bound)]\n",
    "\n",
    "# 计算相关系数\n",
    "correlations = filtered_data.corr()['Price'].sort_values(ascending=False)\n",
    "print(\"\\n特征与房价的相关系数：\")\n",
    "print(correlations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtEAAAIjCAYAAADFk0cVAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACVu0lEQVR4nOzdeXxTVfo/8E+SNkuXpCWlLZUClVTWllVrbYuClYKgonWhwzis+lMBB5lRwIVVZFNRQERHBL4qoI4DM6yKIKuICCiLgq1UQKEtBZp0y35/f2AjIWnSkrY3CZ/369XX2HtOkqeXzM2Tc895jkQQBAFERERERFRnUrEDICIiIiIKNEyiiYiIiIjqiUk0EREREVE9MYkmIiIiIqonJtFERERERPXEJJqIiIiIqJ6YRBMRERER1ROTaCIiIiKiemISTURERERUT0yiiei6MWzYMLRp00bsMEhEEokEY8aMETsMIgoCTKKJKCAsX74cEonE8aNUKnHTTTdhzJgxKC4uFjs80UydOhUSiQRxcXGoqqpyaW/Tpg0GDhwoQmR106ZNG5d/1+TkZDz77LO4ePHiNT3n119/jalTp6KsrKxhgyUiukKI2AEQEdXH9OnTkZSUBKPRiN27d+Ptt9/Gxo0bcfToUYSFhXl87L/+9S/Y7fYmirRplZSU4O2338Y//vEPsUOpt65duzriNhqNOHDgAN544w3s2LED3377bb2f7+uvv8a0adMwbNgwREVFNXC0RESXMYkmooDSv39/9OzZEwAwatQoaLVavP766/jvf/+LvLw8t4+prKxEeHg4QkNDmzLUJtW1a1fMmzcPTz31FFQqldjh1MsNN9yAv/71r47fR40ahYiICLz66qvIz89HcnKyiNH9qeZ9REQEcDoHEQW4Pn36AAAKCwsBXJ73HBERgV9++QV33303IiMjMWTIEEfb1XOi7XY73nzzTaSkpECpVKJ58+bo168fvvvuO6d+H374IXr06AGVSoVmzZph8ODBOHPmjMfY/v3vf0MikWDHjh0ube+88w4kEgmOHj0KACgqKsLw4cPRsmVLKBQKtGjRAvfddx9+/fXXOp2HyZMno7i4GG+//bbHftu3b4dEIsH27dudjv/666+QSCRYvny541jNuTx9+jQGDhyIiIgI3HDDDXjrrbcAAEeOHEGfPn0QHh6O1q1bY+XKlXWKtS7i4+MBACEhf471HD58GMOGDcONN94IpVKJ+Ph4jBgxAhcuXHD0mTp1Kp599lkAQFJSkmOayNXnce3atejcuTMUCgU6deqEzZs3O7XXTJP58ccf8Ze//AXR0dHIzMwEAFitVsyYMQNt27aFQqFAmzZt8Pzzz8NkMrn8HYsXL0anTp2gUCiQkJCA0aNHu0wzueOOO9C5c2ccPnwYt99+O8LCwqDT6fDvf/8bALBjxw6kpaVBpVKhXbt2+PLLL50eX15ejnHjxqFNmzZQKBSIjY3FXXfdhYMHD9bjjBNRfTGJJqKA9ssvvwAAtFqt45jVakVOTg5iY2Px6quvIjc3t9bHjxw5EuPGjUNiYiLmzJmDiRMnQqlU4ptvvnH0mTlzJv72t78hOTkZr7/+OsaNG4etW7eiV69eHufdDhgwABEREfjkk09c2j7++GN06tQJnTt3BgDk5uZizZo1GD58OBYvXoynn34a5eXlOH36dJ3OQ1ZWFvr06YO5c+eiurq6To+pC5vNhv79+yMxMRFz585FmzZtMGbMGCxfvhz9+vVDz549MWfOHERGRuJvf/ub48tMfVgsFpSWlqK0tBS//fYb1q1bh9dffx29evVCUlKSo9+WLVtw8uRJDB8+HAsXLsTgwYOxevVq3H333RAEAQDwwAMPOO5IzJ8/Hx988AE++OADNG/e3PE8u3fvxlNPPYXBgwdj7ty5MBqNyM3NdUrGazz00EOoqqrCK6+8gsceewzA5ZHyyZMno3v37pg/fz5uv/12zJo1C4MHD3Z67NSpUzF69GgkJCTgtddeQ25uLt555x307dsXFovFqe+lS5cwcOBApKWlYe7cuVAoFBg8eDA+/vhjDB48GHfffTdmz56NyspKPPjggygvL3c89oknnsDbb7+N3NxcLF68GP/85z+hUqnw008/1fvfgojqQSAiCgDLli0TAAhffvmlcP78eeHMmTPC6tWrBa1WK6hUKuG3334TBEEQhg4dKgAQJk6c6PIcQ4cOFVq3bu34fdu2bQIA4emnn3bpa7fbBUEQhF9//VWQyWTCzJkzndqPHDkihISEuBy/Wl5enhAbGytYrVbHsXPnzglSqVSYPn26IAiCcOnSJQGAMG/evLqdjCtMmTJFACCcP39e2LFjhwBAeP311x3trVu3FgYMGOD4/auvvhIACF999ZXT8xQWFgoAhGXLljmO1ZzLV155xXHs0qVLgkqlEiQSibB69WrH8ePHjwsAhClTptQr/tatWwsAXH4yMjKE0tJSp75VVVUuj1+1apUAQNi5c6fj2Lx58wQAQmFhoUt/AIJcLhcKCgocx3744QcBgLBw4ULHsZrzmpeX5/T477//XgAgjBo1yun4P//5TwGAsG3bNkEQBKGkpESQy+VC3759BZvN5ui3aNEiAYDw/vvvO47dfvvtAgBh5cqVjmM151MqlQrffPON4/jnn3/u8u+k0WiE0aNHu/ytRNS4OBJNRAElOzsbzZs3R2JiIgYPHoyIiAisWbMGN9xwg1O/J5980utzffbZZ5BIJJgyZYpLm0QiAQD85z//gd1ux8MPP+wYLS0tLUV8fDySk5Px1VdfeXyNRx55BCUlJU7TJ/7973/DbrfjkUceAQCoVCrI5XJs374dly5d8hp3bXr16oXevXs3+Gj0qFGjHP8dFRWFdu3aITw8HA8//LDjeLt27RAVFYWTJ0/W+/nT0tKwZcsWbNmyBevXr8fMmTNx7Ngx3HvvvU5/x5VzvY1GI0pLS3HrrbcCQL2mLmRnZ6Nt27aO31NTU6FWq93G/sQTTzj9vnHjRgDA+PHjnY7XLIzcsGEDAODLL7+E2WzGuHHjIJX++VH72GOPQa1WO/rViIiIcBrJrjmfHTp0QFpamuN4zX9fGWtUVBT27duHs2fP1uGvJ6KGwiSaiALKW2+9hS1btuCrr77Cjz/+iJMnTyInJ8epT0hICFq2bOn1uX755RckJCSgWbNmtfbJz8+HIAhITk5G8+bNnX5++uknlJSUeHyNfv36QaPR4OOPP3Yc+/jjj9G1a1fcdNNNAACFQoE5c+Zg06ZNiIuLQ69evTB37lwUFRV5/RuuNnXqVBQVFWHJkiX1fqw7NfPEr6TRaNCyZUvHF40rj1/Ll4CYmBhkZ2cjOzsbAwYMwPPPP4/33nsPX3/9Nd577z1Hv4sXL+Lvf/874uLioFKp0Lx5c8d0D71eX+fXa9Wqlcux6Ohot7FfOZ0EAE6dOgWpVAqdTud0PD4+HlFRUTh16pSjH3A5Gb6SXC7HjTfe6GivUdv5TExMdDkGwCnWuXPn4ujRo0hMTMQtt9yCqVOnXtOXGSKqHybRRBRQbrnlFmRnZ+OOO+5Ahw4dnEb5aigUCrfHr4XdbodEIsHmzZsdo6VX/rzzzjseH69QKDBo0CCsWbMGVqsVv//+O/bs2eMYha4xbtw4/Pzzz5g1axaUSiVeeukldOjQAYcOHapXvL169cIdd9xR62j01YlaDZvN5va4TCar13Hhj7nJvrrzzjsBADt37nQce/jhh/Gvf/0LTzzxBP7zn//giy++cCwIrE/pwvrEXlulk9rO47Xy5Tw//PDDOHnyJBYuXIiEhATMmzcPnTp1wqZNmxo0RiJyxiSaiK5bbdu2xdmzZz1u6tG2bVsIgoCkpCTHaOmVPzXTCTx55JFHUFpaiq1bt+LTTz+FIAguSXTNa/3jH//AF198gaNHj8JsNuO1116r999VMxrtLsGPjo4GAJcFkVePjIrNarUCACoqKgBcHnndunUrJk6ciGnTpuH+++/HXXfdhRtvvNHlsQ2d4F6pdevWsNvtyM/PdzpeXFyMsrIytG7d2tEPAE6cOOHUz2w2o7Cw0NHeUFq0aIGnnnoKa9euRWFhIbRaLWbOnNmgr0FEzphEE9F1Kzc3F4IgYNq0aS5twhXVHmQyGaZNm+YyUikIgtuKDlfLzs5Gs2bN8PHHH+Pjjz/GLbfc4jRNoKqqCkaj0ekxbdu2RWRkpNuyad7cfvvtuOOOOzBnzhyX523dujVkMpnTCC9wuRSbP1m3bh0AoEuXLgD+HJG9+t/gjTfecHlsTS3nxtix8O6773b7uq+//jqAyxVZgMv/5nK5HAsWLHCKeenSpdDr9Y5+vrLZbC5TWWJjY5GQkHBN7x0iqjtutkJE163evXvj0UcfxYIFC5Cfn49+/frBbrdj165d6N27N8aMGYO2bdvi5ZdfxqRJk/Drr79i0KBBiIyMRGFhIdasWYPHH38c//znPz2+TmhoKB544AGsXr0alZWVePXVV53af/75Z9x55514+OGH0bFjR4SEhGDNmjUoLi52KZtWV1OmTEHv3r1djms0Gjz00ENYuHAhJBIJ2rZti/Xr13ud292Yfv/9d3z44YcALo/U/vDDD3jnnXcQExODsWPHAgDUarVjrrjFYsENN9yAL774wm1JvR49egAAXnjhBQwePBihoaG45557GmSjlC5dumDo0KF49913UVZWhttvvx3ffvstVqxYgUGDBjnOefPmzTFp0iRMmzYN/fr1w7333osTJ05g8eLFuPnmm502l/FFeXk5WrZsiQcffBBdunRBREQEvvzyS+zfv/+a7mIQUd0xiSai69qyZcuQmpqKpUuX4tlnn4VGo0HPnj1x2223OfpMnDgRN910E+bPn+8YtU5MTETfvn1x77331ul1HnnkEbz33nuQSCROVS1qnisvLw9bt27FBx98gJCQELRv3x6ffPKJxxrXntxxxx24/fbb3W70snDhQlgsFixZsgQKhQIPP/ww5s2b56hZ3dS+//57PProowAAqVSKmJgYPPDAA5gxY4ZT1ZWVK1di7NixeOuttyAIAvr27YtNmzYhISHB6fluvvlmzJgxA0uWLMHmzZtht9tRWFjYYLsNvvfee7jxxhuxfPlyrFmzBvHx8Zg0aZJLlZepU6eiefPmWLRoEZ555hk0a9YMjz/+OF555ZUG2z0zLCwMTz31FL744gtHJRmdTofFixfXqUINEV07idBQq0CIiIiIiK4TnBNNRERERFRPnM5BREQNzluNa5VK5ah5TEQUiDidg4iIGpy3MnNDhw7F8uXLmyYYIqJGwJFoIiJqcFu2bPHYfvViQCKiQMORaCIiIiKieuLCQiIiIiKieuJ0jiZkt9tx9uxZREZGNuq2tERERER0bQRBQHl5ORISEiCV1j7ezCS6CZ09exaJiYlih0FEREREXpw5cwYtW7astZ1JdBOKjIwEcPkfRa1WixwNEREREV3NYDAgMTHRkbfVhkl0E6qZwqFWq5lEExEREfkxb1NvubCQiIiIiKiemEQTEREREdUTk2giIiIionpiEk1EREREVE9MoomIiIiI6olJNBERERFRPTGJJiIiIiKqJybRRERERET1xCSaiIiIiKiemEQTEREREdUTk2giIiIionpiEk1EREREVE9MoomIiIiI6olJNBERERFRPYWIHQAREQUmfZUZpRVmGIwWqFWhiAmXQxMmFzssIqImwSSaiIjq7WxZNSZ8dhi78ksdx3olx2B2bioSolQiRkZE1DQ4nYOIiOpFX2V2SaABYGd+KSZ+dhj6KrNIkRERNR0m0UREVC+lFWaXBLrGzvxSlFYwiSai4MckmoiI6sVgtHhsL/fSTkQUDJhEExFRvaiVoR7bI720ExEFA1GT6PLycowbNw6tW7eGSqXCbbfdhv379zvaBUHA5MmT0aJFC6hUKmRnZyM/P9/pOS5evIghQ4ZArVYjKioKI0eOREVFhVOfw4cPIysrC0qlEomJiZg7d65LLJ9++inat28PpVKJlJQUbNy40am9LrEQEV0PYiLk6JUc47atV3IMYiJYoYOIgp+oSfSoUaOwZcsWfPDBBzhy5Aj69u2L7Oxs/P777wCAuXPnYsGCBViyZAn27duH8PBw5OTkwGg0Op5jyJAhOHbsGLZs2YL169dj586dePzxxx3tBoMBffv2RevWrXHgwAHMmzcPU6dOxbvvvuvo8/XXXyMvLw8jR47EoUOHMGjQIAwaNAhHjx519KlLLERE1wNNmByzc1NdEuleyTGYk5vKMndEdH0QRFJVVSXIZDJh/fr1Tse7d+8uvPDCC4Ldbhfi4+OFefPmOdrKysoEhUIhrFq1ShAEQfjxxx8FAML+/fsdfTZt2iRIJBLh999/FwRBEBYvXixER0cLJpPJ0WfChAlCu3btHL8//PDDwoABA5ziSEtLE/7f//t/giAIdYqlLvR6vQBA0Ov1dX4MEZG/Kqs0CQXF5cKhUxeFguJyoazS5P1BRER+rq75mmgj0VarFTabDUql0um4SqXC7t27UVhYiKKiImRnZzvaNBoN0tLSsHfvXgDA3r17ERUVhZ49ezr6ZGdnQyqVYt++fY4+vXr1glz+58hITk4OTpw4gUuXLjn6XPk6NX1qXqcusbhjMplgMBicfoiIgoUmTI62sRHo2ioabWMjOAJNRNcV0ZLoyMhIpKenY8aMGTh79ixsNhs+/PBD7N27F+fOnUNRUREAIC4uzulxcXFxjraioiLExsY6tYeEhKBZs2ZOfdw9R02bpz5XtnuLxZ1Zs2ZBo9E4fhITE72cFSIiIiIKBKLOif7ggw8gCAJuuOEGKBQKLFiwAHl5eZBKg6NoyKRJk6DX6x0/Z86cETskIiIiImoAomarbdu2xY4dO1BRUYEzZ87g22+/hcViwY033oj4+HgAQHFxsdNjiouLHW3x8fEoKSlxardarbh48aJTH3fPUdPmqc+V7d5icUehUECtVjv9EBEREVHg84sh3/DwcLRo0QKXLl3C559/jvvuuw9JSUmIj4/H1q1bHf0MBgP27duH9PR0AEB6ejrKyspw4MABR59t27bBbrcjLS3N0Wfnzp2wWP4s/r9lyxa0a9cO0dHRjj5Xvk5Nn5rXqUssRERERHQdaZp1ju5t3rxZ2LRpk3Dy5Enhiy++ELp06SKkpaUJZrNZEARBmD17thAVFSX897//FQ4fPizcd999QlJSklBdXe14jn79+gndunUT9u3bJ+zevVtITk4W8vLyHO1lZWVCXFyc8OijjwpHjx4VVq9eLYSFhQnvvPOOo8+ePXuEkJAQ4dVXXxV++uknYcqUKUJoaKhw5MgRR5+6xOINq3MQERER+be65muiJtEff/yxcOONNwpyuVyIj48XRo8eLZSVlTna7Xa78NJLLwlxcXGCQqEQ7rzzTuHEiRNOz3HhwgUhLy9PiIiIENRqtTB8+HChvLzcqc8PP/wgZGZmCgqFQrjhhhuE2bNnu8TyySefCDfddJMgl8uFTp06CRs2bHBqr0ss3jCJJiIiIqq7mlKaB09dFApKmqaUZl3zNYkgCIK4Y+HXD4PBAI1GA71ez/nRRERERB6cLavGhM8OY1d+qeNYr+QYzM5NRUKUqtFet675ml/MiSYiIiIiqqGvMrsk0ACwM78UEz87DH2VWaTI/sQkmoiIiIj8SmmF2SWBrrEzvxSlFUyiiYiIiIicGIwWj+3lXtqbApNoIiIiIvIramWox/ZIL+1NgUk0EREREfmVmAg5eiXHuG3rlRyDmAh5E0fkikl0kNJXmfFLSQUOnb6EX85X+MUEfCIiIqK60ITJMTs31SWR7pUcgzm5qdCEiZ9Eh4gdADU8sUrCEBERETWUhCgVFuZ1Q2mFGeVGCyKVoYiJkPtFAg1wJDroBEJJGCIiIqK60ITJ0TY2Al1bRaNtbITfJNAAk+igEwglYYiIiIgCHZPoIBMIJWGIiIiIAh3nRAcZtTIUYXIZRmQmoVtiFExWO5ShMhw8fQnv7y70i5IwRERERIGOSXSQiYmQ4/1hN2Phtnws2lbgOJ6h0+L9YTf7RUkYIiIiokDHJDoIvbWtAHsKLjgd21NwAVKJBIvyuokUFREREVH96KvMKK0ww2C0QK0KRUy4/1TnYBIdZEorzNhV4H5h4a4/Fhb6y5uPiIiIqDb+XrKXCwuDDBcWEhERUaALhJK9TKKDTCDsNU9ERETkSSCU7GUSHWQCYa95IiIiIk8C4c46k+ggEwh7zRMRERF5EqHwvGwv3Et7UxA/Ampw/r7XPBEREZEn8hApsnQxboslZOliIA8RfxxY/AioUQkAIBE7CiIiIqK6M9vsGNNHhyyd1ul4lk6LMX10sNjsIkX2J45EByF/LwlDRERE5IndLqDKbEP/lBYYlpEEk9UORYgUxQYjqsw2RNkFsUNkEh1svJWEWZjXjdM6iIiIyK9JALy3+6TL5nHA5V2Ypwzs1PRBXYXTOYJMIJSEISIiIvLELsBtAg1cPm4XxB+JZhIdZAKhJAwRERGRJ1Vmq5d2WxNFUjsm0UGGm60QERFRoNOoPE891ajEz2c4JzrI1Gy2stPNlA5utkJERESBIEIZgjvbN0eHBA26JUbBZLVDGSrDwdOX8NNZPSKU4qewEkHwg0kl1wmDwQCNRgO9Xg+1Wt1or3O2rBoTPzvslEjXbLbSgtU5iIiIyM8Vnq+A2SZg+vpjTnOjM3VavDSwE+QyCZKaRzTKa9c1X2MS3YSaKokGLlfp4GYrREREFIh+Li7H7E0/oaObkegfz+oxqX8HJMdFNspr1zVfE38snBqFJoxJMxEREQUmQRDwl7TWWLanEIu2FTiOZ+i0GJ6RxOocRERERERXkwBYtqfQpczdnoILWLanEBI/2I6ZSTQRERER+RXWiSYiIiIiqqdAqBPNOdFERHRNahYwG4wWqFWhiAnnWgwiahisE01EREHpbFk1Jnx2GLuuKqU5OzcVCSylSUQ+CoR9Lzidg4iI6kVfZXZJoAFgZ34pJn52GPoqs0iREVGw0ITJ8fKgzsjUaZ2OZ+q0eHlQZ7+468WRaCIiqpfSCrNLAl1jZ34pSivMfvEBR0SBS19lxvT1P6Jrq2gMz0iCyWqHIkSKQ2fKMGP9j3j1oS6iX2c4Ek1ERPViMFo8tpd7aSci8qa0woyvf3GuziGRXC5rt+eXCyitEP+OF0eigxQX/BBRY1ErPS/oifTSTkTkTYXJggV53dxutrIgrxsqTeJ/WWcSHYS44IeIGlMgLPghosAWpZJj7ucn3G62AgCvDEoRIywnnM4RZLjgh4gamyZMjtm5qeiVHON0vFdyDObkpvKuFxH5zGyze9xsxWyzN3FErjgSHWS44IeImkJClAoL87qhtMKMcqMFkcpQxERw2hgRNYwKk+fNViq9tDcFjkQHGS74IaKmJgCAROwoiCiYRCg8j/OGe2lvCuJHQA2KC36IqClw7QURNSa5TIoMndbtlI4MnRZymfjjwOJHQA2qZsGPO1zwQ0QNgWsviKixlVWbMTwjCRlXbbaSodNieEYS9NXiX2eYRAcZLvghosZWl7UXRES+CJOH4OlVh9CtVTSWDu2JxUO6Y+nQnujWKhpPrzoElVz8yRTiR0ANjgt+iKgxce0FETU2uUyKbq2inGpE1/CX6RxMooOUJoxJMxE1Dq69IKLGVjOdA4DTvGjn6RzhIkV3GZNoIiKqlwhlCDJ1Wux2s+AnU6dFhJIfLUTkmwhFKPL+tQ8jMpMwIiMJJqsdihApDp0pw9OrDmHdmEyxQ2QSTURE9VNpsmJYRhIEuI4QDctI8ov6rUQU2GIi5OjZOtrtdA5/KZTAJJqIiOpFX23B06sO1TpCtHJUmtghElGA04TJMSc3Fdt/Po/YSAVMVjuUoTIUG4zofVNzv5iyyiSaiIjqRa0MRZXZ5naECOCcaCJqGAKAjYfPYVeBcz36229qLl5QVxB/aSMREQUU1qMnosbmqEdf4L/16JlEExFRvbAePRE1tkCoR8/pHEREVG+sR09EjSkQ6tEziQ5S+iozSivMMBgtUKtCERPODzcialisR09EjSUQ6tGLOp3DZrPhpZdeQlJSElQqFdq2bYsZM2ZAEARHH0EQMHnyZLRo0QIqlQrZ2dnIz893ep6LFy9iyJAhUKvViIqKwsiRI1FRUeHU5/Dhw8jKyoJSqURiYiLmzp3rEs+nn36K9u3bQ6lUIiUlBRs3bnRqr0ss/uBsWTXGrDqEO1/fgfsXf407X9uBsasO4WxZtdihEREREXkVEyFHVi1rL7L8ZO2FqEn0nDlz8Pbbb2PRokX46aefMGfOHMydOxcLFy509Jk7dy4WLFiAJUuWYN++fQgPD0dOTg6MRqOjz5AhQ3Ds2DFs2bIF69evx86dO/H444872g0GA/r27YvWrVvjwIEDmDdvHqZOnYp3333X0efrr79GXl4eRo4ciUOHDmHQoEEYNGgQjh49Wq9YxOaYiJ/vvxPxiYiIiLwZ3VuHDJ3W6ViGTovRvXUiReRMIlw57NvEBg4ciLi4OCxdutRxLDc3FyqVCh9++CEEQUBCQgL+8Y9/4J///CcAQK/XIy4uDsuXL8fgwYPx008/oWPHjti/fz969uwJANi8eTPuvvtu/Pbbb0hISMDbb7+NF154AUVFRZDLL39zmThxItauXYvjx48DAB555BFUVlZi/fr1jlhuvfVWdO3aFUuWLKlTLN4YDAZoNBro9Xqo1eqGOYlX+aWkAne+vqPW9q3jb0fb2IhGeW0iIiKihvBLSQXuWbQbIzKT0C0xyqke/fu7C7FuTGaj5TN1zddEHYm+7bbbsHXrVvz8888AgB9++AG7d+9G//79AQCFhYUoKipCdna24zEajQZpaWnYu3cvAGDv3r2IiopyJNAAkJ2dDalUin379jn69OrVy5FAA0BOTg5OnDiBS5cuOfpc+To1fWpepy6xXM1kMsFgMDj9NLZAmIhPRERE5InBaHHUox+54js89dFBjFzxHRZtK0CV2eYX+YyoCwsnTpwIg8GA9u3bQyaTwWazYebMmRgyZAgAoKioCAAQFxfn9Li4uDhHW1FREWJjY53aQ0JC0KxZM6c+SUlJLs9R0xYdHY2ioiKvr+MtlqvNmjUL06ZNq8OZaDiBMBGfiIiIyJNAyGdEHYn+5JNP8NFHH2HlypU4ePAgVqxYgVdffRUrVqwQM6wGM2nSJOj1esfPmTNnGv01uQkCERERBbpAyGdEHYl+9tlnMXHiRMd84pSUFJw6dQqzZs3C0KFDER8fDwAoLi5GixYtHI8rLi5G165dAQDx8fEoKSlxel6r1YqLFy86Hh8fH4/i4mKnPjW/e+tzZbu3WK6mUCigUCjqdjIaiCZMjhmDOuOFNUewu+CC43imTosZgzqzHBURERH5PU2YHHNyU7H95/OIjVTAZLVDGSpDscGI3jc194t8RtSR6KqqKkilziHIZDLY7XYAQFJSEuLj47F161ZHu8FgwL59+5Ceng4ASE9PR1lZGQ4cOODos23bNtjtdqSlpTn67Ny5ExbLn/NntmzZgnbt2iE6OtrR58rXqelT8zp1icUfFBuMmLbuGLq2isbSoT2xeEh3LB3aE11bRWP6umMoNvhPJREiCmzFBiOOnzPg28KLOF5k4PWFiBqUAGDj4XOOOdEjlu/HpiPnYBc7sD+IOhJ9zz33YObMmWjVqhU6deqEQ4cO4fXXX8eIESMAABKJBOPGjcPLL7+M5ORkJCUl4aWXXkJCQgIGDRoEAOjQoQP69euHxx57DEuWLIHFYsGYMWMwePBgJCQkAAD+8pe/YNq0aRg5ciQmTJiAo0eP4s0338T8+fMdsfz973/H7bffjtdeew0DBgzA6tWr8d133znK4NUlFn9wqdKMb05eRMcEjeOYRCIBAOw9eRGXKs2IUyvFCo+IgsTpC5WYtOYI9lx1x+uV+1PQShsuYmREFAwcJXsL3JfsXZjXTfTRaFFL3JWXl+Oll17CmjVrUFJSgoSEBOTl5WHy5MmOShqCIGDKlCl49913UVZWhszMTCxevBg33XST43kuXryIMWPGYN26dZBKpcjNzcWCBQsQEfFn6ZPDhw9j9OjR2L9/P2JiYjB27FhMmDDBKZ5PP/0UL774In799VckJydj7ty5uPvuux3tdYnFk6YocffdrxdRVm3Bsj2FTh9uGTothmckIUoVip5tmjXKaxPR9aHYYMT4T753usbUyNRp8drDXfllnYh8ImbJ3rrma6Im0debpkiiC89X4MX/HnX74Zah0+Ll+zojqTnrRBPRtTt+zoB+b+6qtX3z37PQvkXjXOOI6Ppw8NRFPPC2+xLCAPCfJ29D99bRjfLaAVEnmhqexSa4TaABYE/BBVhs/M5ERL4xGK0+tRMReROm8DzjOEwha6JIasckOshUmj1/eFV5aSci8kat9Pzh5q2diMgbuUyKLJ37EndZuhjIZeKnsLzSBZlAKE5ORIEtOlyOTJ3WqYxmjUydFtHh4peeIqLAZrHbMaZPW/RPiUecWukocVekr0bb5hGw2sWv0cEkOsjUFCffmV/q0uYvxcmJKLDFqZV45f4UPO+mHv0r96dwUSER+U4AKs02bDxyzuk6k6XTYnhmEqLCxB8UZBIdZDRhcszOTcXEzw47JdK9kmMwJzdV9HIwRBQcWmnD8drDXXGp0gyD0Qq1MgTR4XIm0ETUICQAlu4udFnntavgAuwApgzsJEpcV2ISHYQSolRYmNcNpRVmlBstiFSGIiZCzgSaiBpUnFrJpJmIGoUd8FgowQ7xCyUwiQ5SmjAmzUTUuPRVZpRWmGEwWqBWhSImnNcdImoYlSYrwuQyjMhMQrfEKMec6IOnL+H93YWoNIlfKIFJdJDihxsRNaazZdWXdxO7atrY7NxUJESpRIyMiIJBhCIEC/K6YdmeQizaVuA4nqHTYkFeN0R4KYHXFMSPgBocP9yIqDE5tuPN99/teIkosMllUpfdl4HLUzkkAGbc11mcwK4gfpE9alDePtz0VWaRIiOiYFFaYXa5xtTYmV+K0gpeZ4jIN0arvdY50bsLLsBoFb/EHZPoIMMPNyJqbAajxWN7uZd2IiJvvM159oc50Uyigww/3IiosXFTJyJqbBqV5+uIt/amwCQ6yPDDjYgaW82mTu5wUyciagixkQpk1XKdyUqOQWykookjcsUkOsjww42IGlvNpk5XX2u4qRMRNaQp93RCpk7rdCxTp8WUe8TfaAUAJIIgiF+t+jphMBig0Wig1+uhVqsb7XXOllXXumNhC1bnIKIGUmww/rljoSoE0WHcsZCIGsap0krM3vwTHuyRiFi1AhVGGyKVISg2GPHvA2cwsV8HtI4Jb5TXrmu+xhJ3QYg7FhJRY2MpTSJqTFUWK3J7JOL9q8rcZei0GJ6RhCoLFxZSI9GEydE2NgJdW0WjbWwEE2giajAspUlEjU0ikdRaJ3rZnkJIJRKRIvsTR6KDFHcsJKLGUlphxoFTlzCmj87tdrylFWZeb4jINwJqrRO9p+AC/GEyMpPoIMTbrETUmCpMFo/b8VaaWEqTiHxTZfY8XaPKbGuiSGrH6RxBhrdZiaixRankHm+zalQchSYi33i7jrBONDU47lhIRI3NbKt9O949BRdgtom/HS8RBbZAKNnLJDrIcMdCImpsFQGwHS8RBbZAqEfPOdFBhjsWElFj43WGiJpCQpQK8x7q4rf16JlEB5ma2x873Uzp8JfbH0QU2GIi5MhKjnE7dSyL1xkiaiD+XiiB0zmCTM3tj6v3m8/yo9sfRBTYTFY7nrqjLTKu2o43Q6fFU3foYLJyTjQR+SYQCiVwJDoI2Wx29O8cj2G3tYHJaociRIoSgxFWLvYhogZwsdKMkSu+w4jMJIzISHJcZw6dKcPIFfvxnydvQ6yf3G4losBUl0IJYg8MMokOMsUGIyauOeJ25XymTovXHu7qN3OJiCgwGYxWVJltTjWir24nIvJFIBRK4HSOIHOp0lxr6andBRdwqVL82x9EFNjUSs/jL97aiYi8CYQFzEyig4y3ESCOEBGRr6LD5ci8aj50jUydFtHhXHtBRL6pWcDsjr8sYOZwQZDhCBERNbY4tRKz7k/B7oJSxKqVMFntUIbKUKyvRqYuhlPGiKhBjO2jQ//O8Yi74jpTpK+GLjZC7NAAMIkOOuFyGTJ1WuyuZU50uFwmQlREFGxCZFIAEueDEskfx4mIfHOh0owKkxUbj5xzymmydFoMz0zChUouLKQGVlZtxksDO2HG+mNOb7pMnRaT7+kEfbUZiQgXMUIiCnT6KjNOXazC+iNnndZgZOi0SIoJR5hcJvqHGxEFNqtdwNLdhS7rvHYVXIAdwNR7OokT2BWYRAcZZWgIRizfj7eGdMfzMinKqy2IVIXCarNj5PL9eH/YzWKHSEQBrqzKgoXb8l0+3Gp+f2VQCpNoIvKJ3S7UWihhT8EF2OxCE0fkikl0kFHIpHj1oVQc/V3vmENUabahSF+NVx9KhYK3WonIR5Vmq8cPt0ozFzATkW+qvFxHqsy2Joqkdkyig4zZbocgABuOnHO5zTq2dzLMdm64QkS+qTTbECaXYURmErolRjkW/Bw8fQnv7y70iw83IgpsGpXnu1kaFUvcUQOTSSRY+FWB29usC7/Kh0wiqeWRRER1Ex0Wirf+0h0JGucqHAkaJd76S3dEhYn/4UZEgY0l7qjJVVtsOHS6DGP66NyOEFVbOEJERL4Jl4dAGSp1e8drTG8dwuX8aCEi343urYNdEFyuM6N760SM6k+80gWZaosNC/K6YdmeQqcteTN0WizI68Ykmoh8ZrTYsKiWO14A8PJ9ncUIi4iCSGmFGSOW78eIzCSMyEiCyWqHIkSKQ2fKMGL5fqwbkyn6AmYm0UGmWZgcr2/5mR9uRNRoqiw2jwsLq/hlnYh8ZDBaUGW2OQ0IXqncaGniiFwxiQ4yJqvd44ebycqFhUTkmyqT5yTZWzsRkTdqZajHBcyRSvHXXjCJDjLlJs8lYSq8tBMReaNRef5w84dV80QU2GIi5Hh/2M1YuC3fZXrq+8Nu5sJCanhRXj68+OFGRL6KUys8frjFqRUiRkdEweKtbe7XXkglEizK6yZSVH9iibsgExup8FgSJjaSH25E5Lu3atmx8K2v3M9fJCKqj9IKM3YVlLpt25VfitIKcxNH5IpJdJDRhMkxJzcVva5KpHslx2BubqroK1mJKPCVlJuwq5a1F7vyS1FSbmriiIgo2Bi8LBzkwkJqFAlRKizM64bSCjPKjRZEKkMREyFnAk1EDUJf7fnDy1s7EZE3ai8LB7mwkBqNJoxJMxE1jnCF548Ob+1ERN7U7Fi4K991Soe/7FjI6RxERFQvElxeROhOhk4LiaRp4yGi4DT6Dp3LtYY7FhIRUcCSSIHhGUkA4LId7/CMJCbRROSzknITRqyofcfC/47OEP2OO5NoIiKql1CpFCv3nUK3VtEuH24r953CiwM6ih0iEQU4fbXnHQv9Ye0Fk2giIqqXsioz/pLWGsv2FLrUiR6ekYSyKvFLTxFRYAuEtRfiR0BERAElTBGCxz84gDm5qZjYvz0qjDZEKkNQbDBiwmeH8eGoNLFDJKIAJ5UAWboYt7Wis3QxkPnBtDEm0UFKX2VGaYUZBqMFalUoYsJZrYOIGoYyRIqFed2w6KsClznRC/O6QRXCNetE5BtliBRj+ugACE516bN0Wozpo4PCD64zTKKD0Nmyakz492Gnb29ZyTGYk5uKhCiViJERUTAQBGDxV7VsxwsJpt/XSaTIiChYWOwCTBY7RvfR4bkr7nhVmCwwWeyw2AWxQ2QSHWz0VWZM+PcPLruJ7covxYTPDmNRXjeOSBORT6otttp3LCwoRbXF1sQREVGwEQCEhkiwcJvrHa8xLHFHjaHY4Hk73mKDiUk0Efmk0uw5Sa7y0k5E5E2IRIJ/7TrpVAVIGSrDwdOX8K9dJ/GSH1QBYhIdZLgdLxE1tiiV5+12NV7aiYi8MVptHqsAGa3if1kXdVZ2mzZtIJFIXH5Gjx4NADAajRg9ejS0Wi0iIiKQm5uL4uJip+c4ffo0BgwYgLCwMMTGxuLZZ5+F1Wp16rN9+3Z0794dCoUCOp0Oy5cvd4nlrbfeQps2baBUKpGWloZvv/3Wqb0usfiDMIXMp3YiIm/UqlBk6WLctmXpYqBmEk1EPpJIJFi2p9Dt2otlewoh9YNdnURNovfv349z5845frZs2QIAeOihhwAAzzzzDNatW4dPP/0UO3bswNmzZ/HAAw84Hm+z2TBgwACYzWZ8/fXXWLFiBZYvX47Jkyc7+hQWFmLAgAHo3bs3vv/+e4wbNw6jRo3C559/7ujz8ccfY/z48ZgyZQoOHjyILl26ICcnByUlJY4+3mLxF2GhMo/b8YaFMokmIt9UmqwYntkGWVdda7J0WgzPbINKk7WWRxIR1ZEAlwS6xp6CCxDEX1cIiSD4QxiXjRs3DuvXr0d+fj4MBgOaN2+OlStX4sEHHwQAHD9+HB06dMDevXtx6623YtOmTRg4cCDOnj2LuLg4AMCSJUswYcIEnD9/HnK5HBMmTMCGDRtw9OhRx+sMHjwYZWVl2Lx5MwAgLS0NN998MxYtWgQAsNvtSExMxNixYzFx4kTo9XqvsdSFwWCARqOBXq+HWq1usPN2pRKDEb+cr3BbempM72S0bR6OWLWyUV6biK4Ph05fwpD39mFEZhK6JUY57Vj4/u5CrByVhq6tosUOk4gC2He/XsTf3v/W6TpTMyf6/d2F+L8Rt6Bnm2aN8tp1zdf8Zk602WzGhx9+iPHjx0MikeDAgQOwWCzIzs529Gnfvj1atWrlSFz37t2LlJQURwINADk5OXjyySdx7NgxdOvWDXv37nV6jpo+48aNc7zugQMHMGnSJEe7VCpFdnY29u7dCwB1isUdk8kEk8nk+N1gMFz7CaqjWLUSRosNA1NaOG3HW2Iw4oYoJRNoIvKZWhnqcTveSCWncxCRb8IVMizI6+Z2TvSCvG4I94PpqeJXqv7D2rVrUVZWhmHDhgEAioqKIJfLERUV5dQvLi4ORUVFjj5XJtA17TVtnvoYDAZUV1ejtLQUNpvNbZ8rn8NbLO7MmjULGo3G8ZOYmOj9RPhIX2XGnE3HEatWIlatQHSYHLFqBWLVSszZfBx6bsdLRD6KiZCjV7L7OdG9kmMQE8EKQETkmzB5SK1zopfvKUSYXPxxYPEj+MPSpUvRv39/JCQkiB1Kg5k0aRLGjx/v+N1gMDR6Il1SbsKGo0XYcNR9cj8u+yaWuCMin2jC5JiTm4rtP59HbKTCcZu12GBE75ua8xpDRD6rMttqnRO9u+ACqv2glKZfJNGnTp3Cl19+if/85z+OY/Hx8TCbzSgrK3MaAS4uLkZ8fLyjz9VVNGoqZlzZ5+oqGsXFxVCr1VCpVJDJZJDJZG77XPkc3mJxR6FQQKFQ1PEsNIwylrgjoiYgANh4+JzLzqi339RcvKCIKGhUeFmgXO4HC5j9YjrHsmXLEBsbiwEDBjiO9ejRA6Ghodi6davj2IkTJ3D69Gmkp6cDANLT03HkyBGnKhpbtmyBWq1Gx44dHX2ufI6aPjXPIZfL0aNHD6c+drsdW7dudfSpSyz+IlwuQ5hchjF9dFg6tCcWD+mO94fdjDF9dAj7o42IyBeXd0Y97JRAA3/ujMppY0TkK7XS8zivt/amIHoEdrsdy5Ytw9ChQxES8mc4Go0GI0eOxPjx49GsWTOo1WqMHTsW6enpjoV8ffv2RceOHfHoo49i7ty5KCoqwosvvojRo0c7RoCfeOIJLFq0CM899xxGjBiBbdu24ZNPPsGGDRscrzV+/HgMHToUPXv2xC233II33ngDlZWVGD58eJ1j8RcR8hAsHdoTi74qcJmIv3RoT0T4wRwiIgpsJeUmlwS6xq78UpSUc2dUIvJNWKgMmTotdruZ0pHpJyV7Rc+ovvzyS5w+fRojRoxwaZs/fz6kUilyc3NhMpmQk5ODxYsXO9plMhnWr1+PJ598Eunp6QgPD8fQoUMxffp0R5+kpCRs2LABzzzzDN588020bNkS7733HnJychx9HnnkEZw/fx6TJ09GUVERunbtis2bNzstNvQWi79QyGX4cO+vGJGRhIn926PCaEOkMgTFBiM+3HsKk+/tJHaIRBTguDMqETW2SosNwzKSIAAuJXuHZSSh0iL+nGi/qhMd7JqiTnTh+QqYbQKmrz/m9KbL1Gnx0sBOkMskSGoe0SivTUTXh5/OGdD/zV21tm/6exY6tGicaxwRXR++LbyAYcv211qPfvnwm3FLkvvN5XwVcHWiqYFI4JJAA5dXss5YfwwvD+osUmBEFCwkuDwa5G7lfIZOC/E34yWiQKdWea5Hr1aJX4/eLxYWUsMxWuyeS8JY7E0cEREFHQkwPCMJGVdt+52h02J4RhKYRRORr2rmRLvDOdHUKMqNnuciemsnIvJGFSLDqn2n0K1VtNPOqIfOlGHVvlOYPJBrL4jIN5Vmq+c50WbxS9wxiQ4y3rbb5Xa8ROQrqQSYdHdHTPvfUadbrVk6Labc2xlSjkQTkY/KjTY8veoQRmQmuXxZf3rVIawYfovYITKJDjbKUCnubN8cHRI0jon4ylAZDp6+hJ/O6qEK5QweIvKNMlQGs92Cu1NaYNgVH24lBiMkksvtRES+UKtCPM6JjlSJn8KKHwE1KEEQ8NLAjtj7i/O86Bs0SjzY/QbYWYyFiHxUZbZh8n9dFzADl2+1vjIoRYSoiCiYRIfJkaWLcVuTPksXg2g/qEXPJDrIyKVS/FZWjfVHzrnMIUpqHoGWGqWI0RFRMKg0W2tdwLyn4IJfzFUkosAWp1Zi5v2d8cKaI9h1xfUmS6fFzPs7I04tfj7DJDrIWOwCFn5V4PIBV/P7y/exxB0R+abS7HmTgyov7UREddFKG445D3aBvtqCcqMFkcpQaFShSIhSiR0aAJa4CzpVFpvHEaIqP9jhh4gCW5SX+qwaP6jfSkSB71xZNXacOI+zZdUorTDjnN6IHT+fx7myarFDA8CR6KBTZfIyQuSlnYjIm9hIBbI7xKJ9C7XLAubj5wyIjVSIHSIRBTh9lRmnLlRh/ZGzrtNTY8IRJpdBI/K8aCbRQSZC6fmf1Fs7EZE3mjA5Jg/siElrjjitnM/UafHK/Smif7ARUeC7VGXGwq/ya52eOnNQZ9GvNcyogowyVOpxNauSJe6IyEf6KjNeWHPU5cNtd8EFvLD2KBbldRP9w42IAlul2YZDp8swpo/O5Y7X+7sLva7NaApMooOMVAKM6aMDILisZh3TRwcZN0EgIh+VlJvcflEHgF35pSgpNzGJJiKfGM02LMjrhmV7Cp3ueGXotFiQ1w1GJtHU0CSQQCqB200QLu8ixiyaiHxTVm3x2K730k5E5E2zcDle//Jnv642xnv7QcZktWPosv34XW90Ov673oihy/bDZLWLFBkRBYtwuecdCcO8tBMReWOy2T1WGzPZxM9nOBIdZCpMVo/bZFaauAkCEfkmXB6CDJ221h0Lw+X8aCEi3xiqPecr3tqbAkeig4xa6bk+a6SXdiIib6LCQjG2TzIydFqn4xk6Lcb2SUZUGK8zROQbtZdqYt7am4L4EVCDiomQe6zfGhPBxT5E5BtNmBxtmoVhbJ9kTOzfHhVGGyKUIag0WZHULIyLConIZ9HhcmS3j0X7BDf5zFkDosPFv84wiQ5CE/t3wJT/HXWp3zr1XvEn4RNRcLADeGtbgVOVjqzkGMzJTRUvKCIKGsoQKSbe3R5T/nfMbT6jDBF/MoVEEARB7CCuFwaDARqNBnq9Hmq1ulFe41RpJZ5fe6TWuYqvDEpB65jwRnltIro+6KvM+McnP7gfITpnwGsPdeFoNBH55NfSCryw1rUePXA5n5k5qDPaxEQ0ymvXNV/jSHSQqTRbPa5mrTSLPxGfiALb+QoThtzaGuf01U7HEzRK9GgVjfMVrBNNRL6pNNu85DOsE00NzNubqsoP3nREFNhsggBlqBQbjpxz+pDL0GkxprcOdt7gJCIfVZm85DNe2psCk+ggE6UKRUyEHHNyUxGrVqDCaEOkMgTFBiMmfHYYGhVXzRORb0KlUvxr10l0axWNEX9s6lQzneNfu07ixQEdxQ6RiAJcpMpziuqtvSmIHwE1qNhIBVY/no4p/3OeR5Sp02L14+lozuocROQjk9WGv6S1drsd7/CMJJis4o8QEVFgU4ZIkaWLcVq8XCNLF+MXCwvFj4AaVKXZ5pJAA8DugguY+r+jfjGHiIgCm1QiwbI9hW634122pxBSiUSkyIgoWJhtdrx0T0dkXVWPPkunxUv3dISZOxZSQ9NXW2qdiL+74AL01RYkRKmaOCoiCiZ2AR4X/Ng5JZqIfCbB/C0nMCwjCc856tHLUGIwYf6WExh/VzuxA2QSHWzKqy2e242e24mIvKkweq7yU2FiFSAi8o1cKsFz/drjpbVHsfuq6akzBqVA4gcLmJlEB5lILwsHue03Efkqwst2uxEKfrQQkW/koTK8uPYIuraK/mOthR2KECkOnSnDy+uPYcagFLFD5JzoYBMulyHzqvlDNTJ1WoTLZU0cEREFG2WI1ON1xh8W/BBRYDNUW/DNyYtOxyR/rLfYe/IiDF7uvDcF7ljYhJpix0J9lRnnK8yY+j/X2x9T7+2M5hFyboJARD75udgAQIIDv15ErFrpKHFXrK9Gz6RmEAQBN8U1zjWOiK4P3/16EWXVFpdFzDVVgKJUoejZplmjvDZ3LLxOacLkMJltmH5fZ5isdhiqLVCrQqEIkSIyVMYEmoh8FiKVorTChI1HzmHXFR9uWboYtI2NQEyEQsToiCgYaMPlmP/lz26rAAHAy/d1FiMsJ0yig5DRZseU/x696sNNi5n3iz9/iIgCn81ux7s7fkGXVtEYdtVmK+/uPIkJ/cRfNU9Egc1iE3D6QhX+NyYDITIpyv8YFLTY7Bj90UFYbOJPpGASHWSKDUa8sOaIUwINALsKLuCFNUfx6sNdEKdWihQdEQUDAcBgD5utiP/RRkSBzmKz4v9G3oIX17puHvd/I29BtUn8OdFc/RFkLlWZXRLoGrsKSnGpytzEERFRsLHb4XGzFbv4eyAQUYBTK+UuCTRwec+Ll9YeRaRS/OmpTKKDjKHac33Wci/tRETeCPC82QpHoonIVxVmm8fN4yr8YAdmJtFBJlzhuYRdmJd2IiJvKr1spuKtnYjIG28l7Pxh8zgm0UEmLFSGjFrqt2botAgLZRJNRL6J9LLZird2IiJv1AGweRyT6CAjl0ow7d7OLhshZOq0mHZvZ8ilEpEiI6JgoQiRevyyruBmK0TkI40qFFm6GLdtWboYaLwk2U2BwwVBxg5g9sYf3W6TOXvTT5gysKPYIRJRgLtQacbwjCQAcLsJwsVKM9q4/+wjIqqTcLkMo3u3hR2Cy3VmdB+dX+zAzCQ6yJSbrPjy+Hl8efy82/bxd93UxBERUbBRhcrw6KpvMSIzCSOu+rL+9KpD+PcT6WKHSEQBrqTchDGrDmFObiom9m+PCqMNEcoQlBiMGLPyIFY9dqvoG8gxiQ4ylSbPq1Ur/WA1KxEFtnB5CLq1inKqEV0jQ6dFuJwfLUTkG4PRgnkPdsE5fTUAwGS1o9piQ7HBiHkPdvGLhYW80gWZSFUIwuQyjMhMQrfEKKedxN7fXcgFP0Tks6iwUPz9zmQMSGmBOLXScZ0p0ldDFxuBqDDx5yoSUWBrFiaH2WrHhiPnXKZzjOmtQ7TIo9AAk+igo5BJsWzYzVi4Ld9plChLp8WyYTdDIeOCHyLyjSZMjni1Egu35jtt7pSli8HM+zuLfouViILDoq8K3G7qBAAv39dZjJCcMKMKMla7HYu25WO3m22/F31VACu3EiMiH+mrzHhhzVGX3VF3FZTihbVHoefOqETkoypL7Zut7Cm4gCqL+NNTmUQHGZuA2rf9zi+FjVuJEZGPSspN2FVQ6rZtV34pSspNTRwREQWbKi9ruKr9YI0Xk+gg421b73IjdxIjIt+UedlJTO+lnYjImwiF5xnH4V7amwKT6CDjbVvvMD+oq0hEgc1bfVZeZ4jIVxLA46ZOEj/YO45JdJBRhXje9lsVwg83IvJNmNzzdYZJNBH5SoCA4RlJLteamk2dBEH8+anij4VTgwqRSjCmtw6A605iY3onI4TbfhORj6TwfJ2RgtcZIvKNKlSGlftOoVuraJdNnVbuO4XJfrADM5PoIKMJC0VRuREDUlo4vemKDUbIpJfbiYh8canaDLPVjoFXXWdKDEaYrTaUVZvRCuFih0lEASw6TI7He7V1KdmbodNibJ/kwK8TbTabUVhYiLZt2yIkhPk4EdH1IFwRAoPbRcwSSCUShPnBgh8iCmxVZhskENwOCkr+aNeEiRvjNc2JrqqqwsiRIxEWFoZOnTrh9OnTAICxY8di9uzZDRog1U9phRlPfXQQcWolYtUKRIfJEadWIk6txFMfHURpBeu3EpFvlDIp3t35CyatOYqRK77DUx8dxMgV32HSmiN4d9dJKLmpExH5qKzagtErD7nNZ0avPOi1SlBTuKbhgkmTJuGHH37A9u3b0a9fP8fx7OxsTJ06FRMnTmywAKl+KkwWzM5Nxft7Cl3mKs7OTUWlSfw3HREFtgqLzWM9+go/2ASBiAJbhdH/85lrGi5Yu3YtFi1ahMzMTEiuqDHSqVMn/PLLLw0WHNVflEqOZVe94YDLi3+W7SmERiX+HCIiCmxe69F7aSci8kYbofCYzzQLV4gU2Z+uKYk+f/48YmNjXY5XVlY6JdXU9Mw2u8dtMs02bvtNRL7xWo/eSzsRkTcWL/mMxQ/ymWtKonv27IkNGzY4fq9JnN977z2kp6fX67l+//13/PWvf4VWq4VKpUJKSgq+++47R7sgCJg8eTJatGgBlUqF7Oxs5OfnOz3HxYsXMWTIEKjVakRFRWHkyJGoqKhw6nP48GFkZWVBqVQiMTERc+fOdYnl008/Rfv27aFUKpGSkoKNGzc6tdclFrFVmDyPAFV6aSci8iZSEYLMWupEZ+q0iOTCQiLykbcdlv1hB+ZrSqJfeeUVPP/883jyySdhtVrx5ptvom/fvli2bBlmzpxZ5+e5dOkSMjIyEBoaik2bNuHHH3/Ea6+9hujoaEefuXPnYsGCBViyZAn27duH8PBw5OTkwGg0OvoMGTIEx44dw5YtW7B+/Xrs3LkTjz/+uKPdYDCgb9++aN26NQ4cOIB58+Zh6tSpePfddx19vv76a+Tl5WHkyJE4dOgQBg0ahEGDBuHo0aP1ikVsaqXnEnaRXtqJiLwxWe0YVssmCMP+WEVPROQLb5s2+cOmThLhGrd8+eWXXzB79mz88MMPqKioQPfu3TFhwgSkpKTU+TkmTpyIPXv2YNeuXW7bBUFAQkIC/vGPf+Cf//wnAECv1yMuLg7Lly/H4MGD8dNPP6Fjx47Yv38/evbsCQDYvHkz7r77bvz2229ISEjA22+/jRdeeAFFRUWQy+WO1167di2OHz8OAHjkkUdQWVmJ9evXO17/1ltvRdeuXbFkyZI6xeKNwWCARqOBXq+HWq2u83mqj2KDEf/45HvsdnMLJFOnxWsPd0WcWtkor01E14dDpy9hyHv7MCIzCd0So5w2QXh/dyFWjkpD11bR3p+IiKgWhaUVmLz2GHYVlLq0ZeliMH1QJyTFRDTKa9c1X7vme25t27bFv/71r2t9OADgf//7H3JycvDQQw9hx44duOGGG/DUU0/hscceAwAUFhaiqKgI2dnZjsdoNBqkpaVh7969GDx4MPbu3YuoqChHAg1crhIilUqxb98+3H///di7dy969erlSKABICcnB3PmzMGlS5cQHR2NvXv3Yvz48U7x5eTkYO3atXWO5Womkwkmk8nxu8Fg8Ol81UW50YJRWTdCAonTGy9LF4ORWUkoN1qYRBORT9TKUFSZbU4bIFyJd7yIyFcySPBU77awQ3CpzvFUbx1kfrAz6jUl0Rs3boRMJkNOTo7T8c8//xx2ux39+/ev0/OcPHkSb7/9NsaPH4/nn38e+/fvx9NPPw25XI6hQ4eiqKgIABAXF+f0uLi4OEdbUVGRyyLHkJAQNGvWzKlPUlKSy3PUtEVHR6OoqMjr63iL5WqzZs3CtGnT6nQuGkq50YIbolXonxKPYRltnHYSuyFahQqj+CVhiCiwRSgvz4mu7Y5XhJJzoonIN+VmK0au+A4jMpNctv0euWI//v1E/dbgNYZrutJNnDjR7aYqgiBg4sSJdU6i7XY7evbsiVdeeQUA0K1bNxw9ehRLlizB0KFDryU0vzJp0iSn0W2DwYDExMRGfc1m4Qo8v+aI2xWtmTotZt5f9+k2RETuVJgsmHxPJ0xfd8wpkc7UaTH5nk6oMFkQB97xIqJrV2W2ebzjVWkWvx79NS0szM/PR8eOHV2Ot2/fHgUF7v9Yd1q0aOHyPB06dHDsgBgfHw8AKC4udupTXFzsaIuPj0dJSYlTu9VqxcWLF536uHuOK1+jtj5XtnuL5WoKhQJqtdrpp7FVmW21loTZXXABVX7wpiOiwGa1CZi76Sd0bRWNpUN7YvGQ7lg6tCe6torG3E3HYbNd01IbIiKHKJXnaWHe2pvCNSXRGo0GJ0+edDleUFCA8PDwOj9PRkYGTpw44XTs559/RuvWrQEASUlJiI+Px9atWx3tBoMB+/btc5TSS09PR1lZGQ4cOODos23bNtjtdqSlpTn67Ny5ExbLn1MZtmzZgnbt2jkqgaSnpzu9Tk2fmtepSyz+oNzLdA1v7URE3ggC8PXJi07Hakqdfn3yAuzMoYnIR+GKENzZvjnG9NE5vqy/P+xmjOmjw53tmyPcD0ppXlME9913H8aNG4c1a9agbdu2AC4n0P/4xz9w77331vl5nnnmGdx222145ZVX8PDDD+Pbb7/Fu+++6yg9J5FIMG7cOLz88stITk5GUlISXnrpJSQkJGDQoEEALo9c9+vXD4899hiWLFkCi8WCMWPGYPDgwUhISAAA/OUvf8G0adMwcuRITJgwAUePHsWbb76J+fPnO2L5+9//jttvvx2vvfYaBgwYgNWrV+O7776rVyz+wNuCHi74ISJfVZqsWJDXDcv2FDrdas3QabEgrxsqzeLXbyWiwFZhsmBC/w6Ytu6Y03XmymljgEq8AHGNSfTcuXPRr18/tG/fHi1btgQA/Pbbb8jKysKrr75a5+e5+eabsWbNGkyaNAnTp09HUlIS3njjDQwZMsTR57nnnkNlZSUef/xxlJWVITMzE5s3b4ZS+ed8u48++ghjxozBnXfeCalUitzcXCxYsMDRrtFo8MUXX2D06NHo0aMHYmJiMHnyZKda0rfddhtWrlyJF198Ec8//zySk5Oxdu1adO7cuV6xiC1MLvO44Mcf6ioSUWCLCpPj9S9/drsdLwBMv7ezu4cREdWZIADLdv+Cqfd2gtUmwFBtgVoVihCZBEt3nsTwzCTvT9LIrrlOtCAI2LJlC3744QeoVCqkpqaiV69eDR1fUGmKOtHfn76IMEVorQt+qkwWdG3VrFFem4iuD8eLDOj3hvv6/gCweVwW2sc3/hoQIgpeBecNCJHI8NLaI9h1RT6TpdNixqAUWAUbdM0b5zrT6HWiJRIJ+vbti759+17rU1AjUMpDUFRmxJg+Okzo3x4VRhsilDJUmqwoKjMiVqMQO0QiCnAVXrbb9dZOROSNQirD82ucE2gA2FVwAS+tPYpX7hf/jledk+gFCxbg8ccfh1KpdJoq4c7TTz/tc2B0bRQyKd7Z9UutJe5m3Cf+m46IAluElwU93tqJiLyptNhcEugauwpKUWkRv9pYna908+fPx5AhQ6BUKp0W5F1NIpEwiRaR0Wr3WOLOaLU3cUREFGwkksu7oNa2Ha9E/I3EiCjAGao939Eq99LeFOqcRBcWFrr9b/IvlSbPbypv7URE3shlUoyuZTve0b11kMuuqXoqEZFDuMJzIYQwL+1Nod733CwWC9q3b4/169ejQ4cOjRET+UAllyFMLsOIzCR0S4yCyWqHMlSGg6cv4f3dhVCxOgcR+chss2NELdvxjlixH2ueuk3sEIkowIWFypCh07q9u56h0yIsVPx8pt5JdGhoKIxGY2PEQg0gLFSGpUN7YtFXBS71W5cO7ekXbzoiCmwGo9XjdrwGLiwkIh/JpRKM7ZMMAC53vMb2SYZcKv68sWta/TF69GjMmTMH7733HkJCuIDEn8hDpFj8VYHb+q1SSDA7N0WkyIgoWHBhIRE1tghVKBIEYGyfZEz8o9pYpDIEFSYrEtRKRPjBtt/XdKXbv38/tm7dii+++AIpKSkuW33/5z//aZDgqP6MFrvH1axGCxcWEpFvFCFSj7dZFSGcE01EvisqN+KtbflX1YmOwdg7k6EJC9AkOioqCrm5uQ0dCzUAg9Hisb3cSzsRkTdlVWYMz7i8W9jVt1mHZyShrMosVmhEFCQuVZmxcGu+mzrRl6sCzRjUCZowuRihOdQribbb7Zg3bx5+/vlnmM1m9OnTB1OnToVKJe7e5fSncLnnf9IwL+1ERN5EKkPx+AcHMCc31ek2a7HBiAmfHcaqx24VO0QiCnCBcGe9XhnVzJkzMXXqVGRnZ0OlUmHBggU4f/483n///caKj+opNESCrOQY7Mp3U781OQahIeJPxCeiwKZRheKtv3THwm352H3Vdrxv/aU7NH4wV5GIAluFl5K83tqbQr0mrv3f//0fFi9ejM8//xxr167FunXr8NFHH8FuF//bAF0mEYCn7miLDJ3W6XiGToun7tBBIogUGBEFDbPFhkVXJdDA5e14F31VALMf7CRGRIEt3MsCZW/tTaFeEZw+fRp333234/fs7GxIJBKcPXsWLVu2bPDgqP6qrXaMrKV+68gV+/HZk6zfSkS+8bgdb75/bMdLRIFNAnhcwOwP99XrlURbrVYolUqnY6GhobBYuFjNX5QbLR7rt3JhIRH5ytt2vN7aiYi8kUjgcQGzxA+y6Hol0YIgYNiwYVAoFI5jRqMRTzzxhFOZO5a4E0+k0vNcRG/tRETeeNtu1x+24yWiwBYVJsfczcfRrVW0y531VftO4ZUHUsUOsX5J9NChQ12O/fWvf22wYMh34XIZMnVal7mKAJCp0yKc234TkY9UoTJk6WIcpaaulKWLgYo7oxKRj+LUSky+pxNeWHPE6e56pk6LmfenIE6t9PDopiERBIFLzZqIwWCARqOBXq+HWq1ulNf4/vRFqOShmLH+mFMinanTYvI9nVBlsqBrq2aN8tpEdH04c6ESv5VVY9FVu6Nm6LQY0zsZLaOUSNSGe3gGIiLP9FVm5JeUw2oXEK4IQYXRhgilDJUmK0KkEiTHRjZanei65mviL22kBqUIDcGoFfvx1pDueF4mRXm1BWpVKCw2O0Yu3493/9ZT7BCJKMAZvSxg/u/oDLFDJKIAV1ZlweLtv6BjggbdEqNgstpRbZHh4OlL+PGsHlMGBthmK+T/pFJg7oOpmLP5uMsI0dwHUyHjbrxE5KMKk9XjAuZKP6jfSkSBrcpixV/SWmPZnkKna03NwsIqi/jXGSbRQUYhk2LprpNOE/GVoZe/uS3dVYgXB3YQO0QiCnBqLmAmokYmkUiwct8pt/nMyn2nMKFfe7FDZBIdbMw2O/6a3gZLd510+uaWpYvByKwkmG3cGIeIfBMTIUev5BjsdLMzaq/kGMREiHuLlYgCnwTwOBLtD5hEB6Glu066bISwq6AUkAAvcSSaiHykCZNj5qDO2F1Qili10jFCVKyvRqYuRvR5ikQUHJbtKXTZbKXm98kDO4oRkhMm0UFGEOBxJzHWYiEiX+mrzDirN2LDkXNOVYCydFrc2DwCalUoE2ki8oldgNvdCoHLx+1+kM8wiQ4yBqPnifblXtqJiLwpq7JgwbZ8lw+4XQUXYAfwyqAUJtFE5JNKkxVhchlGZCY5qnPUzIl+f3ehXyxgZhIdZCIUnv9Jw720ExF5U2m2ehwhqjSL/+FGRIEtKiwUC/K6uZ0TvSCvG6LCxF/AzIJnQUYiufwGcydDp4XUD/aaJ6LAVmm2eWyv8tJORORNmDwEy2uZE718TyHC5OIPCoofATW4UZk3YkBKC8RdseCnSF+NFhoV/GAKEREFOI2XEnbeSuAREXlTbrQ4rbm40u6CCyg3WgComjaoqzCJDjISCRAml2GjmwU/Y/okQ8KRaCLykSpUiqzkGOxyU+IuKzkGqlDe5CQi3wTCGi9e6YKMXCrFom35Lt/edhVcwKJtBZBL+U9ORL6pslox/b5OyLxq6limTovp93VGlVX8DzciCmyBsMZL/AioQZls9tpL3BWUwsTNVojIR3KpDDPW/4iuraIx/I+dxBQhUhw6U4aX1x/DiwPEr99KRIFNgstrudwtYs7QaeEPN9aZRAcZb7c3/OH2BxEFNqPVjm3Hz2Pb8fNu2/+Zwy/rROQbiQSOnQmvTKRrdiz0h+mpTKKDjLfbH97aiYi8ubyg59rbiYi8UYXKsGrfKXRrFY0RV93xWrXvFKbc00nsEJlEBxuvtz/84JsbEQW2SC/VN7y1ExF5U22xIS+ttds60cMzklBtEb+UJpPoICOR+v/tDyIKbBpVKDJ1WrflpzJ1WmhUTKKJyDflRiueXnUIIzKTXEain151CP834haxQ2QSHWzkUilW1nL7Y+W+U3iJC36IyEfhchmm3dcZ3568gNgr6tEX66txy41ahMtlYodIRAFOrQxFldnmNAp9dbvYmEQHGX21GRP6dcCM9cec3niZOi0m39MJ+mqziNERUTC4WGmG3S5g45FzTtWAsnRa9GzTDBcrzdCEyUWMkIgCnSJE6nF6qiJE/JK9TKKDjFopx8sb3Zeemr3pJ7x4N0eiich3U9cdc/lw21VwAdPWHcOM+zqLFBURBYuLVSaP01MvVpnQGuFihQeASXTQMds9l556rh9LTxGRb4xWu9vRIeDydrxGK68zROQbZWgInl71ba1zoj978jaxQ2QSHWy81YGuYJ1oIvIRS9wRUWOTAOjWKsrtnGhutkKNQq30/E8a6aWdiMgblrgjosYmkQCjMm/EgJQWiLtiAXORvhotNCq/qDbGjCrIqEJluLN9c3RI0KBbYpTjTXfw9CX8dFYPVShXzRORb8JCZR5L3IXxOkNEPgoLlSFMLsPGI+ecrjVZOi3G9En2i+uMRBAEQewgrhcGgwEajQZ6vR5qtbpRXuN4kR4SSDF9vfOin0ydFi8N7AQBdrSP1zTKaxPR9eHQ6YsIk4dixvpjTh9uNVWAqkwWdG3VTMQIiSjQ/VxkwNzNx9HezaDg8XMGPJfTDjfFN04uVdd8jSPRwUaQYPoG11XzuwsuYPr6Y6wTTUQ+U4aGYMh732BObiom9G+PCqMNEUoZSgwm/OVf3+CDkWlih0hEAc4OYLCHHQv9Yfkyk+ggIwC1rprfU3ABvO1ARL6SAGgXH4mRK75zafOXBT9EFNgkAJbtKXTJaWp+nzxQ/EFB8StVU4OqNHmuvuGtnYjIKwkwPCMJGTqt0+GaESJm0UTkK7vgeVDQ7gejghyJDjLeqm+wOgcR+Uohk2LDD79jQr/2CJFJUV5tgVoVCovNjmW7T+LpO28SO0QiCnCBMCjIjCrIhMo8b5MZKuPNByLyjRQC/p7dDi+sPeKygPnl+1MgsfvDbEUiCmQRCs8pqrf2psCMKshcqjR7vM16qcosUmREFCxkITKXBBq4vID5xTVHIAsRv/QUEQU2lfxyKU13MnVaqOTiX2fET+OpQYUpQvD/PjyAObmpmPjHqvlIZQiKDUZM+OwwV80Tkc/KjVaP23572zmViMibKrMVwzKSXAomZOi0GJaRhCqz+NcZJtFBRiYFFuV1x8Kv8l3edIvyuoOzOYjIV4ZqbvtNRI2rwmTD06sOYURmEkZkJMFktUMRIsWhM2V4etUhrBhxi9ghMokONsoQGd766ke3JWGkkGDm/Z1FioyIgoVaxW2/iahxRalCUWW2OdWIvrpdbEyig0yl2YZdtdxm3VVQikqzrYkjIqJgEy73vO13uB/MVSSiwBauCEF2+1i0T1C77lh41oBwP1hYKH4E1KDKeZuViBpZudGMGYM646W1R122/Z4xKAUVRjOAcPECJKKAV2Gy4Ln+7TFt3TGn0ehMnRaT7+mECpMFgEq8AMEkOuhE8jYrETWyCIUc8788gef6tcfzV9WJfvPLE3gmu53YIRJRgLPbgRkbjrmtAjRt3TG8NED8HQuZRAcZ3mYlosZmstkwsMsNmLP5uMsC5uEZSTDZOG2MiHxzdVWOK+0puAA/2LCQdaKDjQTA1Hs7udRWzNRpMfXeztyNl4h8ZheAZXsK3S5gXran0C+24yWiwBYIOxaKmkRPnToVEonE6ad9+/aOdqPRiNGjR0Or1SIiIgK5ubkoLi52eo7Tp09jwIABCAsLQ2xsLJ599llYrc4ndvv27ejevTsUCgV0Oh2WL1/uEstbb72FNm3aQKlUIi0tDd9++61Te11i8QdVFhsGv/sNhmckYd3YDKx67FasG5uB4RlJGPzuXlRZOEJERL4RBC8jREyiichH3hYOcmEhgE6dOuHLL790/B4S8mdIzzzzDDZs2IBPP/0UGo0GY8aMwQMPPIA9e/YAAGw2GwYMGID4+Hh8/fXXOHfuHP72t78hNDQUr7zyCgCgsLAQAwYMwBNPPIGPPvoIW7duxahRo9CiRQvk5OQAAD7++GOMHz8eS5YsQVpaGt544w3k5OTgxIkTiI2NrVMs/qLSZEVphRkjV3xXSzuTaCLyTUUAjBARUWCT4PIUMXdf2DN0Wr+4sy56Eh0SEoL4+HiX43q9HkuXLsXKlSvRp08fAMCyZcvQoUMHfPPNN7j11lvxxRdf4Mcff8SXX36JuLg4dO3aFTNmzMCECRMwdepUyOVyLFmyBElJSXjttdcAAB06dMDu3bsxf/58RxL9+uuv47HHHsPw4cMBAEuWLMGGDRvw/vvvY+LEiXWKxR2TyQSTyeT43WAwNNyJq0WEIhRhchlGZCa5lIR5f3ehX+w1T0SBLVLp+ToS4aWdiMgbiQQYnpEEwHXHwuEZSZD4QRYt+pzo/Px8JCQk4MYbb8SQIUNw+vRpAMCBAwdgsViQnZ3t6Nu+fXu0atUKe/fuBQDs3bsXKSkpiIuLc/TJycmBwWDAsWPHHH2ufI6aPjXPYTabceDAAac+UqkU2dnZjj51icWdWbNmQaPROH4SExOv6RzVh1wmwdKhPXHo9CWMXPEdnvroIEYs349Dpy9h6dCekMv84F1HRAEtUhHisu6iRqZOi0h+WSciH0UqQ7F632l0axWNpUN7YvGQ7lg6tCe6tYrG6n2n/aLamKhXurS0NCxfvhzt2rXDuXPnMG3aNGRlZeHo0aMoKiqCXC5HVFSU02Pi4uJQVFQEACgqKnJKoGvaa9o89TEYDKiursalS5dgs9nc9jl+/LjjObzF4s6kSZMwfvx4x+8Gg6HRE2mTzY6lu06iW6toxzaZNSPRS3cV4tl+LD1FRL4xWe0YkZkECeC0uVOWTovhmZevO0REvrDZ7Jh4dwdM/d9RlzrRU+/tDJtN/OuMqEl0//79Hf+dmpqKtLQ0tG7dGp988glUKnELaDcEhUIBhULRpK8pABic1hrL9hQ6velqbn9wvQ8R+cpQbYYEEvRPaYFhf3xZV4RIUWwwQgIJDF42fSIi8sZiFzB744/o2ir6cunMP64zh86UYfbGn/D8gA5ihyj+nOgrRUVF4aabbkJBQQHuuusumM1mlJWVOY0AFxcXO+ZQx8fHu1TRqKmYcWWfq6toFBcXQ61WQ6VSQSaTQSaTue1z5XN4i8VfSFB76SkAmDxQ/OLkRBTYNCo55n3xc60Lfl6+r7MIURFRMDFZ7fjy+Hl8efy82/Z/5Ih/Z130OdFXqqiowC+//IIWLVqgR48eCA0NxdatWx3tJ06cwOnTp5Geng4ASE9Px5EjR1BSUuLos2XLFqjVanTs2NHR58rnqOlT8xxyuRw9evRw6mO327F161ZHn7rE4i/sXkpPsX4rEfnKZLXj0OkyjOmjc8xVfH/YzRjTR4dDp8s4nYOIfFZhtCJMLnN7nQmTy1BhFL8KkKgj0f/85z9xzz33oHXr1jh79iymTJkCmUyGvLw8aDQajBw5EuPHj0ezZs2gVqsxduxYpKenO6ph9O3bFx07dsSjjz6KuXPnoqioCC+++CJGjx7tmEbxxBNPYNGiRXjuuecwYsQIbNu2DZ988gk2bNjgiGP8+PEYOnQoevbsiVtuuQVvvPEGKisrHdU66hKLv/BWespbOxGRN5VmKxbkdXM7bWxBXjdUmXmdISLfRChlHq8zEUrxd2AWNYn+7bffkJeXhwsXLqB58+bIzMzEN998g+bNmwMA5s+fD6lUitzcXJhMJuTk5GDx4sWOx8tkMqxfvx5PPvkk0tPTER4ejqFDh2L69OmOPklJSdiwYQOeeeYZvPnmm2jZsiXee+89R3k7AHjkkUdw/vx5TJ48GUVFRejatSs2b97stNjQWyz+wtuqeK6aJyJfNQuT4/UtrtM5an7ndA4i8lWEPKTW6akSALPuTxEnsCtIBIF7SzUVg8EAjUYDvV4PtVrdKK9x5kIlJq05gt1upnRk6rSYdX8KErXhjfLaRHR9OF5kQL83dtXavnlcFtrHN841joiuD/nF5bhr/s5a27c80wvJcZGN8tp1zdf8ak40+c5gNGPGoM7IuqqGa5ZOixmDUlBuNIsUGREFi3IvcxG9tRMReVNu9Fzlxx+uM7y3H2QiFXKcM1S7LT1VYqhGC3Xglw4kInF52/mUO6MSka/C5J6vI2Hy63xONDU8OwQs2FZQa+mpmYM4V5GIfCPB5etJbdcZ7otKRL6SSSXI0sVgV0GpS1uWLgYyqfhXGk7nCDJVZpvHEndVZlsTR0REwUaAgOEZSci4atrYn5s6cakNEflGIZPiqd5t3V5nnuqtg0ImfgrLkeggU+klSWYSTUS+UoTIsHLfKXRrFY0RV+0ktnLfKbw4gJs6EZFvjFY7Rq74DiMyk1yuMyNX7MfapzLEDpFJdLCJUoV6bNd4aSci8sZqt+OxrBux6KsCl/qtY3onw2rnZitE5BuDm4WFEonEY3tTYxIdZGIjFchKjsGufDdziJJjEBupECEqIgomdgEwWuwYkNLCaYSo2GCE0WKDXeCXdSLyTYQyxMtmK+KnsOJPKKEGpQmTY05uKnolxzgd75Ucg7m5qdCEyUWKjIiChgB88t1pxKmViFUrEB0mR5xaiTi1Ep98d1rs6IgoCChk0lo3W1m+p5BzoqlxJESpMO+hLrhUaYbBaIVaFeL4kCMi8plEwLjsdpi+/pjTB1ymTouXBnaCAE7nICLfmKz2Wgsl7C64AJNV/OsMk+ggdLasGhM+O+w0paNXcgxm56YiIYp1oonIN6qQELyw9ojLB9zugguYsf4YZg4SfzteIgpsVWbPm6n4Q6EE8cfCqUHpq8wuCTQA7MwvxcTPDkNfxR0Licg3RqsNuz2MEBmt4n+4EVFg06g8Tz/1h0IJTKKDTGmF2e2iQuByIl1awSSaiHxTafI8QlRpYhJNRL6JiZC7rO+q0Ss5BjER4q/x4nSOIKOvNiMm4vLiwli1AhVGGyKVISg2GDHhs8PQV4tfEoaIAluk0vMIUKQfrJonosCmCZPj5UGd8fyaI053vjJ1Wrw8qLNfFErglS7IRChDsPKxWzFtneuCn5WP3QpwJzEi8pFcJvW47bfcD1bNE1Fg01eZMX3dj+jaKhrDr9psZfr6H/HaQ11ET6SZRAcZZYgMk9a4X/Azfd0xvHI/F/wQkW/Kqs0YmZkEKYBdV1xrsnRaDM9Mgr7aDCBctPiIKPCVlJvw5fESfHm8pNZ2JtHUoCrNNo8lYbxtC05E5E2kMhQXKy3on9ICw67abEUCCSK8TPcgIvKmzMv0U3+YnsokOsiUe3lTlfvBNplEFNjCFSF4b/dJt1/YM3VavPZw16YPioiCSrhchjC5DCMyk9AtMQomqx3KUBkOnr6E93cXIkwuEztEJtHBJtJLyRdvC4KIiLypMFo93vGqMFoRp27ioIgoqETIQ7B0aE8s+qrAZdvvpUN7IkIufgorfgTUoMLlMmTqtG5ruGbqtAj3g29uRBTYDF7uaPGOFxH5SiGXYemuk+jWKhoj/pg2VjMSvXRXIWY+IP4aLybRQUYGYOq9nTHtf0ddFvxMubczmEITka8iFJ4/OsK9tBMReVNpsmJwWmss21PoMhI9PCPJa736psArXZCx2AVIJALuvmrBT4nBBInkcjsRkS9CZRKPJe5CZRIRoiKiYGK1C1i2p9DlOlPz+9R7OokRlhMm0UHGDmDqf485jULXyNLFYNp94r/piCiwXag0Y3hGEgA4fcDVjBBdrDSjjfuNxoiI6sRuF2pde7Gn4AJsfjAoyCQ6yJisdhw4XYYxfXRuV7OarHaxQySiAKcKleHRVd9iRGaSY65izSYIT686hH8/kS52iEQU4KrMnqdrVPlByV4m0UGmymTFgrxubucQLcjrhio/mENERIEtXB6Cbq2inK4xNTJ0WoT7wap5IgpsGpXnjVQ0XqqRNQXuzRpkosPktc4hWranENF+sNc8EQU2lVyGMb11yNBpnY5n6LQY0zsZKlYBIiIfxUTI0SvZ/bywXskxiIkQP5/hcEGQMdvtHucQme2czkFEvqkwWWGzCXhxQAcIkKC82gK1KhSAgAvlZlSYrIgVO0giCmiaMDleHtQZz6854lS2N1OnxcuDOou+5TfAJDroeCv54g8lYYgosFWaLIjVKDFt3TGnL+2ZOi0m39MJVSbWiSYi3+irzJiz+TiGZyRhQv/2qDDaEKkMQbHBiLmbj2Pm/SmiJ9JMooOMt/qsrN9KRL6KUskxcc0Rl7teuwsuYPq6Y5h1v/ibIBBRYLtQacb93Vvi/aumqNZUAbpQaRY9ieac6CCjCJEi86p5ijUydVooQ/hPTkS+qTTbPG77XekHq+aJKLB5qhO9bE8hS9xRwzNb7RiWkQQBrvVbazZfISLyhcFoRZhchhGZSW5LaRqMnDZGRL5hnWhqcuVGK55edajW+q3/N+IWsUMkogCnUYV4LKWpUfGjhYh8wzrR1ORUchmqzDa39Vtr2omIfBGpDMWyPT+6vc0qATD3wS7iBEZEQYN1oqnJqUJlLrVba2TotFCFMokmIt9Umqye50SzChAR+ShCGeJxjVeEUvxxYCbRQSZEIvG4CUKIRCJSZEQULMqqPZew03tpJyLyptJkxYjMJGRdlc9k6bQYkZnkF1/WxU/jqUFJAMSqlRiY0sJpTnSJwYhYtQJMoYnIV+FepoWFcdoYEfmo3GiBBBL0T2nhKIygCJGi2GCEBBJUGMX/ss4kOsiow0JxodKMpObhCFeEoMJoQ4RShnCFDJI/2omIfFEzbczdlA5OGyOihhClkmPu5ydqvc68Mkj8evRMooPQlP8ew66CUpfjWckxWJTXTYSIiCiY2CFgbJ9kAK6lNMf2SYYA8UtPEVFgM9vsOFFUjqVDeyJWrXDasXDCZ4dhtolfspdJdJAprTC7TaABYFd+KUorxN/hh4gCm0IqhQQCBlw1bezybVZALuVyGyLyjdFixUejbsX09cecvqxn6rT4aNStMFnEnxPNK12QMXiZI1TuB3OIiCiwVZhtGL78O5zVG52On9UbMXz5flT4Qf1WIgpsGpXcJYEGLlcAmrH+GNReSuA1BY5EBxm10vOc50gv7URE3hiMFo/16L19mSci8qbSbPNcStMPvqxzJDrIxETI0Ss5xm1br+QYxESI/82NiAKbty/j/LJORL4yeCmV6Q931plEBxlNmByzc1NdEuleyTGYk5vK+dBE5LMIuczzJggscUdEPlJ72ZHQH76sczpHEEqIUmHeQ11wqdIMg9EKtSoE0WFyxKmVYodGREGgymLDsIwkCHCtzjEsIwlVFvFvsxJRYNOoQpGp02K3mykdmTqtX2z7zSQ6CJ0tq8aEzw5jV/6fVTp6Jcdgdm4qEqJUIkZGRMFAX23F06sOYURmklN1jkNnyvD0qkNYPvwWsUMkogCXEKXCzPtT8MKaI06JdKZOi5n3p/hFPsMkOsjoq8wuCTQA7MwvxcTPDmNhXjdO6SAin6iVIR4XFqqV/GghIt8pZFKM6ZOMCf3bOzaPqzTZoJD5x2xkXumCTGmF2SWBrrGTdaKJqAFEh8s93maNDuc1hoh8o68y41k3g4LA5bvr/jAoyCQ6yBiMFoTJZRiRmYRuiVEwWe1Qhspw8PQlvL+70C9WsxJRYItTKzH7/hT8pq9GuCLEsZNYhcmClhoV118Qkc8CYVCQSXSQ0ahC8dZfuuOcvtrpeIJGibf+0t3ralciorqwA1i4rcBlJ7FX7k8RLygiChqBsHkck+ggE6EIgTJUig1Hzrmsmh/TW4cIBf/Jicg3xQYjJq054nYnsefXHMFrD3flaDQR+cRbvhLuB/mMf8zMpgZTbbZh0VcFLh9uewouYNFXBaj2gx1+iCiwXao0e9xJ7FKluYkjIqJgI5dJkVFLPfoMnRZyP1hcKH4aTw2q0mzFiaJyLB3aE7FqhWOuYrHBiAmfHUal2Sp2iEQU4AxGz9cRb+1ERN6UVZsxPCMJgGs9+uEZSdBXmwGEixTdZUyig4zJasPKx27Fd79e/ON3O6otNpQYjFj52K2oNIk/h4iIAptaGeJxATNL3BGRryIUocj7175a69GvG5MpdohMooNNTLgCv5VVu50T3SYmHC39oDg5EQW2ZuFyLBt2MxZuy3eqFZ2l02LZsJvRjCXuiMhHMRFy9Gwd7bYefa/kGMREiH+dEX9CCTUoi13wOCfaYhdEioyIgoUiRIpF2/Jd6kTv+uM6owjhRwsR+UYTJsfs3FT0So5xOt4rOQZzclNFL28HcCQ66FRbbLUu+NlTcAHVFi4sJCLflJSbsKuW68yu/FKUlJv84gOOiAJbQpQKC/O6obTCjHKjBZHKUMREyP3m+uI3wwWzZ8+GRCLBuHHjHMeMRiNGjx4NrVaLiIgI5Obmori42Olxp0+fxoABAxAWFobY2Fg8++yzsFqdF7Vs374d3bt3h0KhgE6nw/Lly11e/6233kKbNm2gVCqRlpaGb7/91qm9LrH4gyqT5yS5itU5iMhHZdWe11Z4ayciqi8BACRiR+HML5Lo/fv345133kFqaqrT8WeeeQbr1q3Dp59+ih07duDs2bN44IEHHO02mw0DBgyA2WzG119/jRUrVmD58uWYPHmyo09hYSEGDBiA3r174/vvv8e4ceMwatQofP75544+H3/8McaPH48pU6bg4MGD6NKlC3JyclBSUlLnWPxFpMrzzYVILvghIh+FyWU+tRMR1cW5smpsPFqEXy9U4pzeiFMXqrDxaBHOlVV7f3ATkAiCIOok2YqKCnTv3h2LFy/Gyy+/jK5du+KNN96AXq9H8+bNsXLlSjz44IMAgOPHj6NDhw7Yu3cvbr31VmzatAkDBw7E2bNnERcXBwBYsmQJJkyYgPPnz0Mul2PChAnYsGEDjh496njNwYMHo6ysDJs3bwYApKWl4eabb8aiRYsAAHa7HYmJiRg7diwmTpxYp1jqwmAwQKPRQK/XQ61WN9g5vNKJIgNeXv8TdhW4bpWZpYvBSwM74Kb4xnltIro+nCypwEv/O+p26liGTosZ93bGjbERIkRGRMFCX2XGT0XlWLgt36VQwtg+yegQH9lo0zrqmq+JPhI9evRoDBgwANnZ2U7HDxw4AIvF4nS8ffv2aNWqFfbu3QsA2Lt3L1JSUhwJNADk5OTAYDDg2LFjjj5XP3dOTo7jOcxmMw4cOODURyqVIjs729GnLrG4YzKZYDAYnH4am10QMDyzDbKuKlCepdNieGYb2MT9zkREQSBEKsGY3jqXjRAu74yajBCpn91zJaKAU1ZlcUmggcvruxZuy0dZlfjTxkS9t7969WocPHgQ+/fvd2krKiqCXC5HVFSU0/G4uDgUFRU5+lyZQNe017R56mMwGFBdXY1Lly7BZrO57XP8+PE6x+LOrFmzMG3atFrbG0NYaAg+/OYUurSKxrCr6ip++M0pTBnYqUnjIaLgowkLRVG5EQNSWjjVby02GCGTXm4nIvJFpdnqsVCCP2weJ1oSfebMGfz973/Hli1boFQqxQqjUU2aNAnjx493/G4wGJCYmNiorxkVForHe7V1qd9ac/sjih9uRERE5OcqvRRK8NbeFERLog8cOICSkhJ0797dccxms2Hnzp1YtGgRPv/8c5jNZpSVlTmNABcXFyM+Ph4AEB8f71JFo6ZixpV9rq6iUVxcDLVaDZVKBZlMBplM5rbPlc/hLRZ3FAoFFApFHc9Iw9CEydG6WRgGpiY4jRCVlJvQplmY35SFIaLAVVphxrBl+zEiMwlx6j8HQc7qjXh5w09YNyaT1xoi8om3Qgj+UChBtAjuvPNOHDlyxOnY8OHD0b59e0yYMAGJiYkIDQ3F1q1bkZubCwA4ceIETp8+jfT0dABAeno6Zs6ciZKSEsTGxgIAtmzZArVajY4dOzr6bNy40el1tmzZ4ngOuVyOHj16YOvWrRg0aBCAywsLt27dijFjxgAAevTo4TUWf9IiSoW7O8c71VXs2TqaH2pE1CAMRguqzDa3O4kBQLlR/LmKRBTYwuQyZCXHYFe+m0IJyTF+UQVItCQ6MjISnTt3djoWHh4OrVbrOD5y5EiMHz8ezZo1g1qtxtixY5Genu6ohtG3b1907NgRjz76KObOnYuioiK8+OKLGD16tGME+IknnsCiRYvw3HPPYcSIEdi2bRs++eQTbNiwwfG648ePx9ChQ9GzZ0/ccssteOONN1BZWYnhw4cDADQajddY/I0mzH+KkRNRcFErPU8Li/TSTkTkjTJUhqfuaAu7ILhU53jqDh2UoddxEl0X8+fPh1QqRW5uLkwmE3JycrB48WJHu0wmw/r16/Hkk08iPT0d4eHhGDp0KKZPn+7ok5SUhA0bNuCZZ57Bm2++iZYtW+K9995DTk6Oo88jjzyC8+fPY/LkySgqKkLXrl2xefNmp8WG3mLxN/oqM0orzDAYLVCrQhETzqSaiBpGTIQcvZJjsNPNCFGv5BjERPBaQ0S+KTdaMXLFdxiRmeQ0PfXQmTKMXLEf68ZkIlbkir2i14m+njRFnWgAOFtWjQmfHXa6BdIrOQazc1OREKVqtNclouvHubJqbP/5PGIjFTBZ7VCGylBsMKL3Tc0Rz+sMEfno0OlLuH/x17W2r33qNnRtFd0or13XfM2vR6Kp/vRVZpcEGgB25pdi4meHsTCvG0ekichnAoCNh885bezUKzkGt9/UXLygiChoBMK0MSbRQaa0woyfzhmwdGhPxKoVqDDaEKkMQbHBiAmfHUZphZlJNBH5xPFlvYBf1omocQTCtDEm0UGmymzBR6NuxfT1x5wm4mfqtPho1K2oNnPVPBH5prTC7HbFPHA5keaXdSLylSZMjtm5qZj42WGnRLpXcgzm5Kb6xTWGSXSQiVLJMXHNEZddfnYXXMCM9ccw6/4UkSIjomBh8FLCjiXuiKghJESpMDs3FfpqCwzVFmhUoVCrQtHCT9ZdMIkOMpVmW63bZO4uuIBKs/g7/BBRYAuEuYpEFPhOX6jEpKsGBjN1WrxyfwpaacNFjOwyqdgBUMMyGD3vJe+tnYjIm5q5iu74y1xFIgpsxQajSwINXB4QfH7NERQbjCJF9icm0UFGrfJ8c8FbOxGRNzVzFa9OpP1priIRBbZLlWaPd9YvVZqbOCJXzKiCjEImRYZO6/aNl6HTQiHj9yYi8l1ClAoL87qhtMKMcqMFkcpQxERwUyciahiBcGedSXSQuVhlxvCMJABw2SZzeEYSLlWZkSRWcEQUVDRhTJqJqHGolV7urHtpbwriR0ANShUqw6OrvnW7TebTqw7h30+kix0iERERkUfR4XJk6rTY7ebOeqZOi+hw8b/AM4kOMuHyEHRrFYVF2wpc2jJ0WoTL+U9ORERE/i1OrcQr96fg+TVHnBLpmuoccWqliNFdJhEEQRA7iOtFXfdi94W+yowTxeUoKKlAnFoJk9UOZagMRfpq6GIj0C4ukrdfiYiIKCAUG4y4VGmGwWiFWhmC6HB5oyfQdc3XOCwZZDRhcsSrlVi4NR+7rvjmlqXTYub9KUygiYiIKGDEqZV+MersDks1BBl9lRkvrD3qlEADwK6CC3hx7VHoq8QvCUNEREQU6JhEB5nSCjN2XbHH/JV25peitIJJNBEREZGvOJ0jyBiMFo/t5V7aiYiIiPyF05xoVQiiwxp/TnRdMYkOMmplqMf2SC/tRERERP7g9IVKl62/a6pztNKGixjZZZzOEWRiIuQuW/HW6JUcg5gILiwkIiIi/1ZsMOL5qxJo4PKW38+vOYJig1GkyP7EJDrIaMLkmJ2b6pJI90qOwZzcVFbnICIiIr93qcrsdqMV4HIifckPCiVwOkcQSohSYd5DXfx2DhERERGRJ+VGq0/tTYFJdBA6W1aNCf8+jF0Ff1bp6JUcg9m5qUiIUokYGREREZF3EQrPKaq39qbA6RxBRl9ldkmggcvl7SZ8dph1oomIiMjvySRAhk7rti1Dp4VMImniiFwxiQ4yJeUmlwS6xq78UpSUm5o4IiIiIqL6CZFJMTwjySWRztBpMTwjCSEy8ZNo8cfCqUGVVXuuA6330k5EREQkNm24HLM2/oRuraIxIiMJJqsdihApDp0pw8ffnsarD3URO0Qm0cEmXC7z2B7mpZ2IiIhIbJowOabd1xkTPzuMRdsKHMf9qdoYk+ggEy4PQYZO61JXEbh8CyRczn9yIiIi8n8JUSoszOuG0gozyo0WRCpDERMh94sEGmASHXSiwkIxtk8yADgl0hk6Lcb2SUZUGHcsJCIiosCgCfOfpPlqTKKDjCZMjtbNwjAwNcFpDlFJuQltmoX57RuRiIiIKJAwiQ5CLaJUuLtzvNPtj56to5lAExERETUQJtFByp9vfxAREREFOtaJJiIiIiKqJybRRERERET1xCSaiIiIiKiemEQTEREREdUTk2giIiIionpiEk1EREREVE9MoomIiIiI6olJNBERERFRPTGJJiIiIiKqJybRRERERET1xCSaiIiIiKiemEQTEREREdVTiNgBUOPQV5lRWmGGwWiBWhWKmHA5NGFyscMiIiIiCgpMooPQubJqbP/5PGIjFTBZ7bhUZcG3hRdxx03N0SJKJXZ4RERERAGPSXSQ0VeZcepiFdYfPos9BRccxzN0WiTFhCNMLuOINBEREZGPOCc6yJRVWbBwW75TAg0AewouYOG2fJRVWUSKjIiIiCh4MIkOMpVmq0sCXWNPwQVUmq1NHBERERFR8GESHWQqzTaP7VVe2omIiIjIOybRQSZKFeqxXeOlnYiIiIi8YxIdZGIjFchKjnHblpUcg9hIRRNHRERERBR8mEQHGU2YHHNyU9HrqkS6V3IM5uamsjIHERERUQNgibsglBClwsK8biitMKPcaEGkMhQxEdxshYiIiKihMIkOUpowJs1EREREjYXTOYiIiIiI6okj0UREdE30VWaUVphhMFqgVoUiJpx3wIjo+iHqSPTbb7+N1NRUqNVqqNVqpKenY9OmTY52o9GI0aNHQ6vVIiIiArm5uSguLnZ6jtOnT2PAgAEICwtDbGwsnn32WVitzhuKbN++Hd27d4dCoYBOp8Py5ctdYnnrrbfQpk0bKJVKpKWl4dtvv3Vqr0ssRETXi7Nl1Riz6hDufH0H7l/8Ne58bQfGrjqEs2XVYodGRNQkRE2iW7ZsidmzZ+PAgQP47rvv0KdPH9x33304duwYAOCZZ57BunXr8Omnn2LHjh04e/YsHnjgAcfjbTYbBgwYALPZjK+//horVqzA8uXLMXnyZEefwsJCDBgwAL1798b333+PcePGYdSoUfj8888dfT7++GOMHz8eU6ZMwcGDB9GlSxfk5OSgpKTE0cdbLP5GX2XGLyUVOHT6En45XwF9lVnskIgoSOirzJjw2WHsyi91Or4zvxQTPzvM6w0RXRckgiAIYgdxpWbNmmHevHl48MEH0bx5c6xcuRIPPvggAOD48ePo0KED9u7di1tvvRWbNm3CwIEDcfbsWcTFxQEAlixZggkTJuD8+fOQy+WYMGECNmzYgKNHjzpeY/DgwSgrK8PmzZsBAGlpabj55puxaNEiAIDdbkdiYiLGjh2LiRMnQq/Xe42lLgwGAzQaDfR6PdRqdYOds6udLat2+YDrlRyD2bmpSIhSNdrrEtH14ZeSCtz5+o5a27eOvx1tYyOaMCIiooZT13zNbxYW2mw2rF69GpWVlUhPT8eBAwdgsViQnZ3t6NO+fXu0atUKe/fuBQDs3bsXKSkpjgQaAHJycmAwGByj2Xv37nV6jpo+Nc9hNptx4MABpz5SqRTZ2dmOPnWJxR2TyQSDweD009g4QkREja2s2vN1xFs7EVEwED2JPnLkCCIiIqBQKPDEE09gzZo16NixI4qKiiCXyxEVFeXUPy4uDkVFRQCAoqIipwS6pr2mzVMfg8GA6upqlJaWwmazue1z5XN4i8WdWbNmQaPROH4SExPrdlJ8UFphdkmga+zML0VpBT/ciMg3YXLPa9K9tRMRBQPRk+h27drh+++/x759+/Dkk09i6NCh+PHHH8UOq0FMmjQJer3e8XPmzJlGf02D0eKxvdxLOxGRNxIAGTqt27YMnRaSpg2HiEgUog8XyOVy6HQ6AECPHj2wf/9+vPnmm3jkkUdgNptRVlbmNAJcXFyM+Ph4AEB8fLxLFY2aihlX9rm6ikZxcTHUajVUKhVkMhlkMpnbPlc+h7dY3FEoFFAoFPU4G75TK0M9tkd6aSci8kYiAUZmJkEKYFfBBcfxLJ0WwzOTIGEWTUTXAdFHoq9mt9thMpnQo0cPhIaGYuvWrY62EydO4PTp00hPTwcApKen48iRI05VNLZs2QK1Wo2OHTs6+lz5HDV9ap5DLpejR48eTn3sdju2bt3q6FOXWPxFTIQcvZJj3Lb1So5BTARruBKRb6LD5AiXy9A/pQWWDu2JxUO6Y+nQnuif0gLhchmiWSuaiK4Doo5ET5o0Cf3790erVq1QXl6OlStXYvv27fj888+h0WgwcuRIjB8/Hs2aNYNarcbYsWORnp7uqIbRt29fdOzYEY8++ijmzp2LoqIivPjiixg9erRjBPiJJ57AokWL8Nxzz2HEiBHYtm0bPvnkE2zYsMERx/jx4zF06FD07NkTt9xyC9544w1UVlZi+PDhAFCnWPyFJkyO2bmpmPjZYey8qjrHnNxUboRARD5ThEixaFuB0yh0jazkGCzK6yZCVERETUvUJLqkpAR/+9vfcO7cOWg0GqSmpuLzzz/HXXfdBQCYP38+pFIpcnNzYTKZkJOTg8WLFzseL5PJsH79ejz55JNIT09HeHg4hg4diunTpzv6JCUlYcOGDXjmmWfw5ptvomXLlnjvvfeQk5Pj6PPII4/g/PnzmDx5MoqKitC1a1ds3rzZabGht1j8SUKUCgvzuqG0woxyowWRylDERHAnMSJqGKUVZrcJNADs+mMBM683RBTs/K5OdDBrqjrRRESN6dDpS7h/8de1tq996jZ0bRXdhBERETWcgKsTTUREgYELmImImEQTEVE9cQEzERGT6KClrzLjl5IKHDp9Cb+cr+BOhUTUYGoWMF+dSHMBMxFdT0SvE00N72xZtcvW372SYzA7NxUJUSoRIyOiYMEFzER0veNIdJDRV5ldEmjg8pbfEz87zBFpImowmjA52sZGoGuraLSNjWACTUTXFSbRQaa0wuySQNfY+UfpKSIiIiLyDZPoIGMwWjy2l3tpJyIiIiLvmEQHmQiF52nu4V7aiYiIiMg7JtFBRi6TIkOndduWodNCLuM/OREREZGvmFEFmbJqM4ZnJLkk0hk6LYZnJEFfzTnRRERERL7ivf0gE6EIRd6/9mFEZhJGZCTBZLVDESLFoTNleHrVIawbkyl2iEREREQBj0l0kImJkKNn62gs2lbg0sadxIiIiIgaBqdzBBnuJEZERETU+DgSHYS4kxgRERFR42ISHaQ0YUyaiYiIiBoLp3MQEREREdUTk2giIiIionpiEk1EREREVE9MoomIiIiI6olJNBERERFRPTGJJiIiIiKqJybRRERERET1xCSaiIiIiKiemEQTEREREdUTk2giIiIionpiEk1EREREVE9MoomIiIiI6olJNBERERFRPTGJJiIiIiKqpxCxA7ieCIIAADAYDCJHQkRERETu1ORpNXlbbZhEN6Hy8nIAQGJiosiREBEREZEn5eXl0Gg0tbZLBG9pNjUYu92Os2fPIjIyEhKJpNFfz2AwIDExEWfOnIFarW701wskPDfu8by4x/NSO54b93heasdz4x7PS+2a+twIgoDy8nIkJCRAKq195jNHopuQVCpFy5Ytm/x11Wo1/w9ZC54b93he3ON5qR3PjXs8L7XjuXGP56V2TXluPI1A1+DCQiIiIiKiemISTURERERUT0yig5hCocCUKVOgUCjEDsXv8Ny4x/PiHs9L7Xhu3ON5qR3PjXs8L7Xz13PDhYVERERERPXEkWgiIiIionpiEk1EREREVE9MoomIiIiI6olJNBERERFRPTGJDhA7d+7EPffcg4SEBEgkEqxdu9brY7Zv347u3btDoVBAp9Nh+fLlLn3eeusttGnTBkqlEmlpafj2228bPvhGVt9z85///Ad33XUXmjdvDrVajfT0dHz++edOfaZOnQqJROL00759+0b8Kxpefc/L9u3bXf5miUSCoqIip37X43tm2LBhbs9Np06dHH2C4T0za9Ys3HzzzYiMjERsbCwGDRqEEydOeH3cp59+ivbt20OpVCIlJQUbN250ahcEAZMnT0aLFi2gUqmQnZ2N/Pz8xvozGty1nJd//etfyMrKQnR0NKKjo5Gdne3y/xV376t+/fo15p/SoK7lvCxfvtzlb1YqlU59Av39AlzbubnjjjvcXmcGDBjg6BPo75m3334bqampjk1T0tPTsWnTJo+P8efrC5PoAFFZWYkuXbrgrbfeqlP/wsJCDBgwAL1798b333+PcePGYdSoUU7J4scff4zx48djypQpOHjwILp06YKcnByUlJQ01p/RKOp7bnbu3Im77roLGzduxIEDB9C7d2/cc889OHTokFO/Tp064dy5c46f3bt3N0b4jaa+56XGiRMnnP7u2NhYR9v1+p558803nc7JmTNn0KxZMzz00ENO/QL9PbNjxw6MHj0a33zzDbZs2QKLxYK+ffuisrKy1sd8/fXXyMvLw8iRI3Ho0CEMGjQIgwYNwtGjRx195s6diwULFmDJkiXYt28fwsPDkZOTA6PR2BR/ls+u5bxs374deXl5+Oqrr7B3714kJiaib9+++P3335369evXz+k9s2rVqsb+cxrMtZwX4PKuc1f+zadOnXJqD/T3C3Bt5+Y///mP03k5evQoZDKZy3UmkN8zLVu2xOzZs3HgwAF899136NOnD+677z4cO3bMbX+/v74IFHAACGvWrPHY57nnnhM6derkdOyRRx4RcnJyHL/fcsstwujRox2/22w2ISEhQZg1a1aDxtuU6nJu3OnYsaMwbdo0x+9TpkwRunTp0nCBiawu5+Wrr74SAAiXLl2qtQ/fM5etWbNGkEgkwq+//uo4FmzvGUEQhJKSEgGAsGPHjlr7PPzww8KAAQOcjqWlpQn/7//9P0EQBMFutwvx8fHCvHnzHO1lZWWCQqEQVq1a1TiBN7K6nJerWa1WITIyUlixYoXj2NChQ4X77ruvESIUR13Oy7JlywSNRlNrezC+XwTh2t4z8+fPFyIjI4WKigrHsWB7zwiCIERHRwvvvfee2zZ/v75wJDpI7d27F9nZ2U7HcnJysHfvXgCA2WzGgQMHnPpIpVJkZ2c7+lwv7HY7ysvL0axZM6fj+fn5SEhIwI033oghQ4bg9OnTIkXYtLp27YoWLVrgrrvuwp49exzH+Z7509KlS5GdnY3WrVs7HQ+294xerwcAl/9vXMnbtaawsBBFRUVOfTQaDdLS0gL2fVOX83K1qqoqWCwWl8ds374dsbGxaNeuHZ588klcuHChQWNtSnU9LxUVFWjdujUSExNdRiGD8f0CXNt7ZunSpRg8eDDCw8OdjgfLe8Zms2H16tWorKxEenq62z7+fn1hEh2kioqKEBcX53QsLi4OBoMB1dXVKC0thc1mc9vn6jmwwe7VV19FRUUFHn74YcextLQ0LF++HJs3b8bbb7+NwsJCZGVloby8XMRIG1eLFi2wZMkSfPbZZ/jss8+QmJiIO+64AwcPHgQAvmf+cPbsWWzatAmjRo1yOh5s7xm73Y5x48YhIyMDnTt3rrVfbdeamvdEzf8Gy/umruflahMmTEBCQoLTh32/fv3wf//3f9i6dSvmzJmDHTt2oH///rDZbI0ReqOq63lp164d3n//ffz3v//Fhx9+CLvdjttuuw2//fYbgOB7vwDX9p759ttvcfToUZfrTDC8Z44cOYKIiAgoFAo88cQTWLNmDTp27Oi2r79fX0Ia/RWI/NjKlSsxbdo0/Pe//3Wa+9u/f3/Hf6empiItLQ2tW7fGJ598gpEjR4oRaqNr164d2rVr5/j9tttuwy+//IL58+fjgw8+EDEy/7JixQpERUVh0KBBTseD7T0zevRoHD16NODmdTe2azkvs2fPxurVq7F9+3anRXSDBw92/HdKSgpSU1PRtm1bbN++HXfeeWeDxt3Y6npe0tPTnUYdb7vtNnTo0AHvvPMOZsyY0dhhiuJa3jNLly5FSkoKbrnlFqfjwfCeadeuHb7//nvo9Xr8+9//xtChQ7Fjx45aE2l/xpHoIBUfH4/i4mKnY8XFxVCr1VCpVIiJiYFMJnPbJz4+vilDFc3q1asxatQofPLJJy63i64WFRWFm266CQUFBU0UnX+45ZZbHH8z3zOXV4G///77ePTRRyGXyz32DeT3zJgxY7B+/Xp89dVXaNmypce+tV1rat4TNf8bDO+b+pyXGq+++ipmz56NL774AqmpqR773njjjYiJiQm498y1nJcaoaGh6Natm+NvDqb3C3Bt56ayshKrV6+u05fvQHzPyOVy6HQ69OjRA7NmzUKXLl3w5ptvuu3r79cXJtFBKj09HVu3bnU6tmXLFscIgFwuR48ePZz62O12bN26tda5ScFk1apVGD58OFatWuVUPqg2FRUV+OWXX9CiRYsmiM5/fP/9946/+Xp/zwCXV9wXFBTU6cMtEN8zgiBgzJgxWLNmDbZt24akpCSvj/F2rUlKSkJ8fLxTH4PBgH379gXM++ZazgtwuWrAjBkzsHnzZvTs2dNr/99++w0XLlwImPfMtZ6XK9lsNhw5csTxNwfD+wXw7dx8+umnMJlM+Otf/+q1b6C9Z9yx2+0wmUxu2/z++tLoSxepQZSXlwuHDh0SDh06JAAQXn/9deHQoUPCqVOnhP/fzv3HRF3/cQB/Hj+OA251YOwAyaMI2EUX5EKbZLBwoQZhq83SGOQW9ttSaMdWXd4SoZFIdP7h2rC5MqyplU4wIMRdWC5CqE5+deAKmBa5QkxDXt8/nJ8vJ8x5IEfg87F9Nj/vz/vH6/3e+z578dnHj4iI2WyWrKwspf4vv/wiAQEBkp+fLw6HQ2w2m3h7e0tVVZVS55NPPhE/Pz/ZsWOH/Pzzz5Kbmys6nU76+/s9Pr/JcHdtPvroI/Hx8RGbzSZ9fX3KcebMGaXOhg0bpL6+XpxOp9jtdlmyZInccsstcurUKY/Pb6LcXZfS0lLZt2+fdHR0SGtrq6xbt068vLykpqZGqXOj7pnLnnrqKVm4cOG4fc6GPfPcc8/JzTffLPX19S6/jaGhIaVOVlaWmM1m5dxut4uPj4+UlJSIw+EQi8Uivr6+0traqtQpKioSnU4nn3/+ubS0tEhmZqbcdtttcu7cOY/Ob6Imsi5FRUWiVqvls88+c2nz999/i8ilPZiXlyeNjY3idDqlpqZG5s+fL9HR0fLPP/94fI4TMZF12bhxo1RXV0tXV5d8//338sQTT4hGo5GffvpJqTPT94vIxNbmsvvvv19Wrlw5pnw27Bmz2SyHDx8Wp9MpLS0tYjabRaVSyaFDh0Rk5t1fmETPEJc/P3blkZ2dLSKXPnuTnJw8pk1CQoKo1Wq5/fbbpaKiYky/5eXlMm/ePFGr1bJgwQI5evTo1E/mOnN3bZKTk69aX+TS5wDDwsJErVbL3LlzZeXKldLZ2enZiU2Su+tSXFwsUVFRotFoJDg4WFJSUqSurm5MvzfinhG59Nkkf39/2b59+7h9zoY9M96aAHC5dyQnJ7v8VkREdu/eLTExMaJWqyUuLk4OHDjgcn1kZETeeOMN0ev14ufnJ6mpqdLW1uaBGV0fE1kXg8EwbhuLxSIiIkNDQ/LQQw9JSEiI+Pr6isFgkGeeeWZG/UE6kXV55ZVXlPuHXq+X5cuXS1NTk0u/M32/iEz8t3TixAkBoCSVo82GPbNmzRoxGAyiVqslJCREUlNTXeY60+4vKhGR6/RQm4iIiIjohsB3oomIiIiI3MQkmoiIiIjITUyiiYiIiIjcxCSaiIiIiMhNTKKJiIiIiNzEJJqIiIiIyE1MoomIiIiI3MQkmoiIiIjITUyiiYhoSuzYsQM6nW66wyAimhJMoomIplhOTg5UKhWKiopcyvft2weVSjVNUV2iUqmUw8fHB/PmzcP69etx/vx5t/qJjIzE1q1bpyZIIqL/ICbRREQeoNFoUFxcjD///HO6QxmjoqICfX19cDqd2LZtG3bu3Im33357WmK5cOHCtIxLROQuJtFERB6wZMkShIaGYvPmzeNef+utt5CQkOBStnXrVkRGRirnOTk5WLFiBQoLC6HX66HT6WC1WjE8PIz8/HwEBwcjIiICFRUVbsWm0+kQGhqKW2+9Fenp6cjMzERTU5NyvaurC5mZmdDr9dBqtUhMTERNTY1yPSUlBT09PXj11VeVp9qjVVdXw2g0QqvVYunSpejr6xszp02bNiE8PByxsbEAgNbWVjz44IPw9/fHnDlzkJubi8HBQaXdyMgIrFYrIiIi4Ofnh4SEBFRVVSnXu7u7oVKpsHv3bixevBj+/v5ITExEe3s7jh07hnvvvRdarRbLli3D6dOnlXb19fVYsGABAgMDodPpkJSUhJ6eHrfWk4huDEyiiYg8wNvbG4WFhSgvL8evv/464X7q6urQ29uLhoYGbNmyBRaLBenp6QgKCsK3336LZ599FmvXrp3wGO3t7airq8PChQuVssHBQSxfvhy1tbX44YcfsHTpUmRkZODkyZMAgD179iAiIgJWqxV9fX0uSfLQ0BBKSkqwc+dONDQ04OTJk8jLy3MZs7a2Fm1tbfjqq6+wf/9+nD17FmlpaQgKCsKxY8fw6aefoqamBi+++KLSpqysDO+++y5KSkrQ0tKCtLQ0PPLII+jo6HDp22Kx4PXXX0dTUxN8fHywatUqvPbaaygrK8ORI0fQ2dmJN998EwAwPDyMFStWIDk5GS0tLWhsbERubu60v3JDRP9RQkREUyo7O1syMzNFROS+++6TNWvWiIjI3r175fJt2GKxSHx8vEu70tJSMRgMLv0YDAa5ePGiUhYbGyuLFy9WzoeHhyUwMFB27dp1TbEBEI1GI4GBgeLn5ycAJD09XS5cuHDVdnFxcVJeXq6cGwwGKS0tdalTUVEhAKSzs1Mps9lsotfrXeak1+vl/PnzStn27dslKChIBgcHlbIDBw6Il5eX9Pf3i4hIeHi4bNq0yWW8xMREef7550VExOl0CgD54IMPlOu7du0SAFJbW6uUbd68WWJjY0VE5I8//hAAUl9ff9W5ExGJiPBJNBGRBxUXF+PDDz+Ew+GYUPu4uDh4ef3/1q3X62EymZRzb29vzJkzB6dOnbrmPktLS9Hc3Izjx49j//79aG9vR1ZWlnJ9cHAQeXl5MBqN0Ol00Gq1cDgcypPoqwkICEBUVJRyHhYWNiY2k8kEtVqtnDscDsTHxyMwMFApS0pKwsjICNra2vDXX3+ht7cXSUlJLv0kJSWNWde7775b+bder1fGG112OZ7g4GDk5OQgLS0NGRkZKCsrc3mqTkQ0GpNoIiIPeuCBB5CWloaCggKXci8vL4iIS9m///47pr2vr6/LuUqlGrdsZGTkmmMKDQ3FHXfcgdjYWDz88MPYuHEjKisr0dnZCQDIy8vD3r17UVhYiCNHjqC5uRkmk+ma/hPgeLFdOc/RyfL1Nnr8y69lXFk2eq0qKirQ2NiIRYsWobKyEjExMTh69OiUxUdEMxeTaCIiDysqKsKXX36JxsZGpSwkJAT9/f0uCWZzc/M0RHfpaTYAnDt3DgBgt9uRk5ODRx99FCaTCaGhoeju7nZpo1arcfHixesyvtFoxPHjx3H27FmlzG63w8vLC7GxsbjpppsQHh4Ou93u0s5ut+POO++c9Pj33HMPCgoK8M033+Cuu+7Cxx9/POk+iWj2YRJNRORhJpMJq1evxnvvvaeUpaSk4PTp03jnnXfQ1dUFm82GgwcPeiSeM2fOoL+/H729vTh8+DCsVitiYmJgNBoBANHR0dizZ4/yyseqVavGPOmOjIxEQ0MDfvvtN/z++++Timf16tXQaDTIzs7Gjz/+iK+//hovvfQSsrKylFcy8vPzUVxcjMrKSrS1tcFsNqO5uRnr1q2b8LhOpxMFBQVobGxET08PDh06hI6ODmUdiIhGYxJNRDQNrFarSyJqNBqxbds22Gw2xMfH47vvvhvzFYup8vTTTyMsLAwRERF48sknERcXh4MHD8LHxwcAsGXLFgQFBWHRokXIyMhAWloa5s+fP2Y+3d3diIqKQkhIyKTiCQgIQHV1NQYGBpCYmIjHH38cqampeP/995U6L7/8MtavX48NGzbAZDKhqqoKX3zxBaKjoyc17okTJ/DYY48hJiYGubm5eOGFF7B27dpJzYeIZieVXPlyGhERERERXRWfRBMRERERuYlJNBHRLFVYWAitVjvusWzZsukOj4hoRuPrHEREs9TAwAAGBgbGvebv74+5c+d6OCIiotmDSTQRERERkZv4OgcRERERkZuYRBMRERERuYlJNBERERGRm5hEExERERG5iUk0EREREZGbmEQTEREREbmJSTQRERERkZv+B4qb9PRLTDNlAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制其他特征与房价的散点图\n",
    "features_to_analyze = ['Num_Bedrooms', 'Num_Bathrooms', 'Year_Built', 'Has_Garden', 'Has_Pool']\n",
    "for feature in features_to_analyze:\n",
    "    plt.figure(figsize=(8, 6))\n",
    "    sns.scatterplot(x=feature, y='Price', data=filtered_data)\n",
    "    plt.title(f'Price vs {feature}')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   ID  Square_Feet  Num_Bedrooms  Num_Bathrooms  Num_Floors  Year_Built  \\\n",
      "0   1   143.635030             1              3           3        1967   \n",
      "1   2   287.678577             1              2           1        1949   \n",
      "2   3   232.998485             1              3           2        1923   \n",
      "3   4   199.664621             5              2           2        1918   \n",
      "4   5    89.004660             4              3           3        1999   \n",
      "\n",
      "   Garage_Size  Location_Score  Distance_to_Center          Price  \\\n",
      "0           48        8.297631            5.935734  602134.816747   \n",
      "1           37        6.061466           10.827392  591425.135386   \n",
      "2           14        2.911442            6.904599  464478.696880   \n",
      "3           17        2.070949            8.284019  583105.655996   \n",
      "4           34        1.523278           14.648277  619879.142523   \n",
      "\n",
      "   Price_per_SquareFeet  Has_Garden_1_True  Has_Pool_1_True  \n",
      "0           4192.116770               True             True  \n",
      "1           2055.853941              False             True  \n",
      "2           1993.483760               True            False  \n",
      "3           2920.425526              False            False  \n",
      "4           6964.569515               True            False  \n"
     ]
    }
   ],
   "source": [
    "# 对分类特征进行独热编码\n",
    "categorical_features = ['Has_Garden_1', 'Has_Pool_1']\n",
    "filtered_data = pd.get_dummies(filtered_data, columns=categorical_features, drop_first=True)\n",
    "\n",
    "# 查看新的特征工程结果\n",
    "print(filtered_data.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-1 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-1 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-1 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-1 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;RandomForestRegressor<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>RandomForestRegressor(random_state=42)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestRegressor(random_state=42)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "# 准备数据\n",
    "X = filtered_data.drop(['ID', 'Price'], axis=1)\n",
    "y = filtered_data['Price']\n",
    "\n",
    "# 划分训练集和测试集\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# 构建线性回归模型\n",
    "lr_model = LinearRegression()\n",
    "lr_model.fit(X_train, y_train)\n",
    "\n",
    "# 构建随机森林模型\n",
    "rf_model = RandomForestRegressor(n_estimators=100, random_state=42)\n",
    "rf_model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "线性回归测试集的均方误差: 346147075.6752105\n",
      "随机森林测试集的均方误差: 1655481563.4277027\n"
     ]
    }
   ],
   "source": [
    "# 线性回归模型预测和评估\n",
    "y_pred_lr = lr_model.predict(X_test)\n",
    "mse_lr = mean_squared_error(y_test, y_pred_lr)\n",
    "print(f\"线性回归测试集的均方误差: {mse_lr}\")\n",
    "\n",
    "# 随机森林模型预测和评估\n",
    "y_pred_rf = rf_model.predict(X_test)\n",
    "mse_rf = mean_squared_error(y_test, y_pred_rf)\n",
    "print(f\"随机森林测试集的均方误差: {mse_rf}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "线性回归测试集的均方误差: 346147075.6752264\n",
      "最佳参数: {'max_depth': 10, 'min_samples_split': 2, 'n_estimators': 300}\n",
      "最佳随机森林测试集的均方误差: 1639148569.4827547\n"
     ]
    }
   ],
   "source": [
    "# 特征工程：创建新特征\n",
    "filtered_data['Age'] = 2024 - filtered_data['Year_Built']\n",
    "\n",
    "# 划分训练集和测试集\n",
    "X_train, X_test, y_train, y_test = train_test_split(filtered_data.drop(['ID', 'Price'], axis=1), filtered_data['Price'], test_size=0.2, random_state=42)\n",
    "\n",
    "# 线性回归模型\n",
    "lr_model = LinearRegression()\n",
    "lr_model.fit(X_train, y_train)\n",
    "y_pred_lr = lr_model.predict(X_test)\n",
    "mse_lr = mean_squared_error(y_test, y_pred_lr)\n",
    "print(f\"线性回归测试集的均方误差: {mse_lr}\")\n",
    "\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "# 设置超参数网格\n",
    "param_grid = {\n",
    "    'n_estimators': [100, 200, 300],\n",
    "    'max_depth': [None, 10, 20],\n",
    "    'min_samples_split': [2, 5, 10]\n",
    "}\n",
    "\n",
    "# 使用网格搜索进行超参数调优\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "grid_search = GridSearchCV(estimator=RandomForestRegressor(random_state=42), param_grid=param_grid, cv=5, scoring='neg_mean_squared_error')\n",
    "grid_search.fit(X_train, y_train)\n",
    "\n",
    "# 输出最佳参数和最佳模型的测试集均方误差\n",
    "print(\"最佳参数:\", grid_search.best_params_)\n",
    "best_rf_model = grid_search.best_estimator_\n",
    "y_pred_best_rf = best_rf_model.predict(X_test)\n",
    "mse_best_rf = mean_squared_error(y_test, y_pred_best_rf)\n",
    "print(f\"最佳随机森林测试集的均方误差: {mse_best_rf}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA94AAAKXCAYAAAB0TZI7AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACQ5klEQVR4nOzdeVhUZf/H8Q+ggBu4gmIkoKblhoqSpWZJ4pLr8zxu9ahoWtZjGi5JJu6ipmWmiZnm0qaZ2WYukUuWpeaW+4a5gluAoKIy8/vDn1Mji2Idz8C8X9c1V849Z47fOSHwOec+39vFarVaBQAAAAAADOFqdgEAAAAAAORnBG8AAAAAAAxE8AYAAAAAwEAEbwAAAAAADETwBgAAAADAQARvAAAAAAAMRPAGAAAAAMBABG8AAAAAAAxE8AYAAAAAwEAEbwAAAAAADETwBgDkOfPmzZOLi0uWj6FDhxryd/70008aOXKkkpKSDNn/33HzeGzZssXsUu7aO++8o3nz5pldBgAAhihgdgEAANyt0aNHKzAw0G6sevXqhvxdP/30k0aNGqUePXqoePHihvwdzuydd95R6dKl1aNHD7NLAQDgH0fwBgDkWS1atFBISIjZZfwtaWlpKlKkiNllmObSpUsqXLiw2WUAAGAoppoDAPKtb7/9Vo0aNVKRIkVUrFgxtWrVSrt377bbZufOnerRo4eCgoLk6empsmXLqmfPnjp//rxtm5EjR2rw4MGSpMDAQNu09qNHj+ro0aNycXHJcpq0i4uLRo4cabcfFxcX7dmzR127dlWJEiXUsGFD2+sffPCB6tatq0KFCqlkyZLq3Lmzjh8/flefvUePHipatKiOHTump556SkWLFlX58uU1Y8YMSdJvv/2mJ554QkWKFFGFChX00Ucf2b3/5vT19evX67nnnlOpUqXk5eWlbt266Y8//sj0973zzjuqVq2aPDw85OfnpxdffDHTtPwmTZqoevXq+vXXX9W4cWMVLlxYr776qgICArR7926tW7fOdmybNGkiSbpw4YIGDRqkGjVqqGjRovLy8lKLFi20Y8cOu32vXbtWLi4uWrx4scaNG6f77rtPnp6eatq0qQ4dOpSp3l9++UUtW7ZUiRIlVKRIEdWsWVNvvfWW3Tb79u3Tv//9b5UsWVKenp4KCQnRl19+abfNtWvXNGrUKFWuXFmenp4qVaqUGjZsqNWrV9/R/ycAgHPgijcAIM9KTk7WuXPn7MZKly4tSVq4cKG6d++u8PBwTZw4UZcuXdLMmTPVsGFDbdu2TQEBAZKk1atX68iRI4qIiFDZsmW1e/duvfvuu9q9e7d+/vlnubi4qEOHDjpw4IA+/vhjvfnmm7a/o0yZMjp79myu6/7Pf/6jypUra/z48bJarZKkcePGafjw4erYsaOeffZZnT17Vm+//bYaN26sbdu23dX09oyMDLVo0UKNGzfWpEmT9OGHH+p///ufihQpomHDhunpp59Whw4dFBsbq27duqlBgwaZpu7/73//U/HixTVy5Ejt379fM2fO1O+//24LutKNEwqjRo1SWFiY+vbta9tu8+bN+vHHH1WwYEHb/s6fP68WLVqoc+fOeuaZZ+Tr66smTZqoX79+Klq0qIYNGyZJ8vX1lSQdOXJEy5Yt03/+8x8FBgYqMTFRs2bN0mOPPaY9e/bIz8/Prt4JEybI1dVVgwYNUnJysiZNmqSnn35av/zyi22b1atX66mnnlK5cuXUv39/lS1bVnv37tXXX3+t/v37S5J2796tRx99VOXLl9fQoUNVpEgRLV68WO3atdNnn32m9u3b2z57TEyMnn32WdWvX18pKSnasmWLtm7dqieffDLX/88AAPmUFQCAPOb999+3SsryYbVarRcvXrQWL17c2rt3b7v3JSQkWL29ve3GL126lGn/H3/8sVWSdf369bax119/3SrJGh8fb7dtfHy8VZL1/fffz7QfSdYRI0bYno8YMcIqydqlSxe77Y4ePWp1c3Ozjhs3zm78t99+sxYoUCDTeHbHY/Pmzbax7t27WyVZx48fbxv7448/rIUKFbK6uLhYP/nkE9v4vn37MtV6c59169a1Xr161TY+adIkqyTrF198YbVardYzZ85Y3d3drc2aNbNmZGTYtps+fbpVknXu3Lm2sccee8wqyRobG5vpM1SrVs362GOPZRq/cuWK3X6t1hvH3MPDwzp69Gjb2Jo1a6ySrA8++KA1PT3dNv7WW29ZJVl/++03q9VqtV6/ft0aGBhorVChgvWPP/6w26/FYrH9uWnTptYaNWpYr1y5Yvf6I488Yq1cubJtrFatWtZWrVplqhsAgL9iqjkAIM+aMWOGVq9ebfeQblzRTEpKUpcuXXTu3Dnbw83NTaGhoVqzZo1tH4UKFbL9+cqVKzp37pwefvhhSdLWrVsNqfv555+3e7506VJZLBZ17NjRrt6yZcuqcuXKdvXm1rPPPmv7c/HixVWlShUVKVJEHTt2tI1XqVJFxYsX15EjRzK9v0+fPnZXrPv27asCBQpo+fLlkqTvvvtOV69e1YABA+Tq+uevFb1795aXl5e++eYbu/15eHgoIiLijuv38PCw7TcjI0Pnz59X0aJFVaVKlSz//0RERMjd3d32vFGjRpJk+2zbtm1TfHy8BgwYkGkWwc0r+BcuXND333+vjh076uLFi7b/H+fPn1d4eLgOHjyokydPSrpxTHfv3q2DBw/e8WcCADgfppoDAPKs+vXrZ9lc7WYIeuKJJ7J8n5eXl+3PFy5c0KhRo/TJJ5/ozJkzdtslJyf/g9X+6dbp3AcPHpTValXlypWz3P6vwTc3PD09VaZMGbsxb29v3XfffbaQ+dfxrO7dvrWmokWLqly5cjp69Kgk6ffff5d0I7z/lbu7u4KCgmyv31S+fHm7YHw7FotFb731lt555x3Fx8crIyPD9lqpUqUybX///ffbPS9RooQk2T7b4cOHJeXc/f7QoUOyWq0aPny4hg8fnuU2Z86cUfny5TV69Gi1bdtWDzzwgKpXr67mzZvrv//9r2rWrHnHnxEAkP8RvAEA+Y7FYpF04z7vsmXLZnq9QIE/f/x17NhRP/30kwYPHqzg4GAVLVpUFotFzZs3t+0nJ7cG2Jv+GhBv9der7DfrdXFx0bfffis3N7dM2xctWvS2dWQlq33lNG79//vNjXTrZ7+d8ePHa/jw4erZs6fGjBmjkiVLytXVVQMGDMjy/88/8dlu7nfQoEEKDw/PcptKlSpJkho3bqzDhw/riy++0KpVq/Tee+/pzTffVGxsrN1sAwCAcyN4AwDynYoVK0qSfHx8FBYWlu12f/zxh+Li4jRq1ChFR0fbxrOaNpxdwL55RfXWDt63Xum9Xb1Wq1WBgYF64IEH7vh998LBgwf1+OOP256npqbq9OnTatmypSSpQoUKkqT9+/crKCjItt3Vq1cVHx+f4/H/q+yO75IlS/T4449rzpw5duNJSUm2Jne5cfNrY9euXdnWdvNzFCxY8I7qL1mypCIiIhQREaHU1FQ1btxYI0eOJHgDAGy4xxsAkO+Eh4fLy8tL48eP17Vr1zK9frMT+c2ro7deDZ06dWqm99xca/vWgO3l5aXSpUtr/fr1duPvvPPOHdfboUMHubm5adSoUZlqsVqtdkub3Wvvvvuu3TGcOXOmrl+/rhYtWkiSwsLC5O7urmnTptnVPmfOHCUnJ6tVq1Z39PcUKVIk07GVbvw/uvWYfPrpp7Z7rHOrTp06CgwM1NSpUzP9fTf/Hh8fHzVp0kSzZs3S6dOnM+3jr53sb/1/U7RoUVWqVEnp6el3VR8AIH/iijcAIN/x8vLSzJkz9d///ld16tRR586dVaZMGR07dkzffPONHn30UU2fPl1eXl62pbauXbum8uXLa9WqVYqPj8+0z7p160qShg0bps6dO6tgwYJq3bq1ihQpomeffVYTJkzQs88+q5CQEK1fv14HDhy443orVqyosWPHKioqSkePHlW7du1UrFgxxcfH6/PPP1efPn00aNCgf+z45MbVq1fVtGlTdezYUfv379c777yjhg0bqk2bNpJuLKkWFRWlUaNGqXnz5mrTpo1tu3r16umZZ565o7+nbt26mjlzpsaOHatKlSrJx8dHTzzxhJ566imNHj1aEREReuSRR/Tbb7/pww8/tLu6nhuurq6aOXOmWrdureDgYEVERKhcuXLat2+fdu/erZUrV0q60bivYcOGqlGjhnr37q2goCAlJiZq48aNOnHihG0d8YceekhNmjRR3bp1VbJkSW3ZskVLlizR//73v7uqDwCQPxG8AQD5UteuXeXn56cJEybo9ddfV3p6usqXL69GjRrZddX+6KOP1K9fP82YMUNWq1XNmjXTt99+m2l96Hr16mnMmDGKjY3VihUrZLFYFB8fryJFiig6Olpnz57VkiVLtHjxYrVo0ULffvutfHx87rjeoUOH6oEHHtCbb76pUaNGSZL8/f3VrFkzW8g1w/Tp0/Xhhx8qOjpa165dU5cuXTRt2jS7qeEjR45UmTJlNH36dL388ssqWbKk+vTpo/Hjx99xY7jo6Gj9/vvvmjRpki5evKjHHntMTzzxhF599VWlpaXpo48+0qJFi1SnTh198803Gjp06F1/pvDwcK1Zs0ajRo3SlClTZLFYVLFiRfXu3du2zUMPPaQtW7Zo1KhRmjdvns6fPy8fHx/Vrl3b7raEl156SV9++aVWrVql9PR0VahQQWPHjtXgwYPvuj4AQP7jYr0XnVQAAECeMm/ePEVERGjz5s1Zdo4HAAB3jnu8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQ93gDAAAAAGAgrngDAAAAAGAggjcAAAAAAAa6q3W8Z8yYoddff10JCQmqVauW3n77bdWvX/+27/vkk0/UpUsXtW3bVsuWLbONW61WjRgxQrNnz1ZSUpIeffRRzZw5U5UrV76jeiwWi06dOqVixYrZrSsKAAAAAIARrFarLl68KD8/P7m63uaatjWXPvnkE6u7u7t17ty51t27d1t79+5tLV68uDUxMTHH98XHx1vLly9vbdSokbVt27Z2r02YMMHq7e1tXbZsmXXHjh3WNm3aWAMDA62XL1++o5qOHz9ulcSDBw8ePHjw4MGDBw8ePHjc08fx48dvm1lz3VwtNDRU9erV0/Tp0yXduNrs7++vfv36aejQoVm+JyMjQ40bN1bPnj31ww8/KCkpyXbF22q1ys/PTwMHDtSgQYMkScnJyfL19dW8efPUuXPn29aUnJys4sWL6/jx4/Ly8srNxwEAAAAAINdSUlLk7++vpKQkeXt757htrqaaX716Vb/++quioqJsY66urgoLC9PGjRuzfd/o0aPl4+OjXr166YcffrB7LT4+XgkJCQoLC7ONeXt7KzQ0VBs3bswyeKenpys9Pd32/OLFi5IkLy8vgjcAAAAA4J65k9udc9Vc7dy5c8rIyJCvr6/duK+vrxISErJ8z4YNGzRnzhzNnj07y9dvvi83+4yJiZG3t7ft4e/vn5uPAQAAAADAPWNoV/OLFy/qv//9r2bPnq3SpUv/Y/uNiopScnKy7XH8+PF/bN8AAAAAAPyTcjXVvHTp0nJzc1NiYqLdeGJiosqWLZtp+8OHD+vo0aNq3bq1bcxisdz4iwsU0P79+23vS0xMVLly5ez2GRwcnGUdHh4e8vDwyE3pAAAAAACYIldXvN3d3VW3bl3FxcXZxiwWi+Li4tSgQYNM21etWlW//fabtm/fbnu0adNGjz/+uLZv3y5/f38FBgaqbNmydvtMSUnRL7/8kuU+AQAAAADIS3K9jndkZKS6d++ukJAQ1a9fX1OnTlVaWpoiIiIkSd26dVP58uUVExMjT09PVa9e3e79xYsXlyS78QEDBmjs2LGqXLmyAgMDNXz4cPn5+aldu3Z3/8kAAAAAAHAAuQ7enTp10tmzZxUdHa2EhAQFBwdrxYoVtuZox44du/3i4bcYMmSI0tLS1KdPHyUlJalhw4ZasWKFPD09c1seAAAAAAAOJdfreDuilJQUeXt7Kzk5meXEAAAAAACGy00ONbSrOQAAAAAAzo7gDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEKmF2AU3JxMbuCe8NqNbsCAAAAADAdV7wBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMNBdBe8ZM2YoICBAnp6eCg0N1aZNm7LddunSpQoJCVHx4sVVpEgRBQcHa+HChXbb9OjRQy4uLnaP5s2b301pAAAAAAA4lAK5fcOiRYsUGRmp2NhYhYaGaurUqQoPD9f+/fvl4+OTafuSJUtq2LBhqlq1qtzd3fX1118rIiJCPj4+Cg8Pt23XvHlzvf/++7bnHh4ed/mRAAAAAABwHC5Wq9WamzeEhoaqXr16mj59uiTJYrHI399f/fr109ChQ+9oH3Xq1FGrVq00ZswYSTeueCclJWnZsmW5q/7/paSkyNvbW8nJyfLy8rqrfdxTLi5mV3Bv5O5LCwAAAADyjNzk0FxNNb969ap+/fVXhYWF/bkDV1eFhYVp48aNt32/1WpVXFyc9u/fr8aNG9u9tnbtWvn4+KhKlSrq27evzp8/n+1+0tPTlZKSYvcAAAAAAMAR5Wqq+blz55SRkSFfX1+7cV9fX+3bty/b9yUnJ6t8+fJKT0+Xm5ub3nnnHT355JO215s3b64OHTooMDBQhw8f1quvvqoWLVpo48aNcnNzy7S/mJgYjRo1KjelAwAAAABgilzf4303ihUrpu3btys1NVVxcXGKjIxUUFCQmjRpIknq3LmzbdsaNWqoZs2aqlixotauXaumTZtm2l9UVJQiIyNtz1NSUuTv72/45wAAAAAAILdyFbxLly4tNzc3JSYm2o0nJiaqbNmy2b7P1dVVlSpVkiQFBwdr7969iomJsQXvWwUFBal06dI6dOhQlsHbw8OD5msAAAAAgDwhV/d4u7u7q27duoqLi7ONWSwWxcXFqUGDBne8H4vFovT09GxfP3HihM6fP69y5crlpjwAAAAAABxOrqeaR0ZGqnv37goJCVH9+vU1depUpaWlKSIiQpLUrVs3lS9fXjExMZJu3I8dEhKiihUrKj09XcuXL9fChQs1c+ZMSVJqaqpGjRqlf/3rXypbtqwOHz6sIUOGqFKlSnbLjQEAAAAAkBflOnh36tRJZ8+eVXR0tBISEhQcHKwVK1bYGq4dO3ZMrq5/XkhPS0vTCy+8oBMnTqhQoUKqWrWqPvjgA3Xq1EmS5Obmpp07d2r+/PlKSkqSn5+fmjVrpjFjxjCdHAAAAACQ5+V6HW9HxDreDirvf2kBAAAAQJYMW8cbAAAAAADkDsEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AQAAAAAwEMEbAAAAAAADEbwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMNBdBe8ZM2YoICBAnp6eCg0N1aZNm7LddunSpQoJCVHx4sVVpEgRBQcHa+HChXbbWK1WRUdHq1y5cipUqJDCwsJ08ODBuykNAAAAAACHkuvgvWjRIkVGRmrEiBHaunWratWqpfDwcJ05cybL7UuWLKlhw4Zp48aN2rlzpyIiIhQREaGVK1fatpk0aZKmTZum2NhY/fLLLypSpIjCw8N15cqVu/9kAAAAAAA4ABer1WrNzRtCQ0NVr149TZ8+XZJksVjk7++vfv36aejQoXe0jzp16qhVq1YaM2aMrFar/Pz8NHDgQA0aNEiSlJycLF9fX82bN0+dO3fO9P709HSlp6fbnqekpMjf31/Jycny8vLKzccxh4uL2RXcG7n70gIAAACAPCMlJUXe3t53lENzdcX76tWr+vXXXxUWFvbnDlxdFRYWpo0bN972/VarVXFxcdq/f78aN24sSYqPj1dCQoLdPr29vRUaGprtPmNiYuTt7W17+Pv75+ZjAAAAAABwz+QqeJ87d04ZGRny9fW1G/f19VVCQkK270tOTlbRokXl7u6uVq1a6e2339aTTz4pSbb35WafUVFRSk5Otj2OHz+em48BAAAAAMA9U+Be/CXFihXT9u3blZqaqri4OEVGRiooKEhNmjS5q/15eHjIw8Pjny0SAAAAAAAD5Cp4ly5dWm5ubkpMTLQbT0xMVNmyZbN9n6urqypVqiRJCg4O1t69exUTE6MmTZrY3peYmKhy5crZ7TM4ODg35QEAAAAA4HByNdXc3d1ddevWVVxcnG3MYrEoLi5ODRo0uOP9WCwWW3O0wMBAlS1b1m6fKSkp+uWXX3K1TwAAAAAAHFGup5pHRkaqe/fuCgkJUf369TV16lSlpaUpIiJCktStWzeVL19eMTExkm40QgsJCVHFihWVnp6u5cuXa+HChZo5c6YkycXFRQMGDNDYsWNVuXJlBQYGavjw4fLz81O7du3+uU8KAAAAAIAJch28O3XqpLNnzyo6OloJCQkKDg7WihUrbM3Rjh07JlfXPy+kp6Wl6YUXXtCJEydUqFAhVa1aVR988IE6depk22bIkCFKS0tTnz59lJSUpIYNG2rFihXy9PT8Bz4iAAAAAADmyfU63o4oN+unOQTW8QYAAACAPM2wdbwBAAAAAEDuELwBAAAAADAQwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAA+V6OTHAcM7Q9Z2O7wAAAIDT4Io3AAAAAAAGIngDAAAAAGAggjcAAAAAAAYieAMAAAAAYCCCNwAAAAAABiJ4AwAAAABgIII3AAAAAAAGIngDAAAAAGAggjcAAAAAAAYieAMAAAAAYCCCNwAAAAAABiJ4AwAAAABgIII3AAAAAAAGIngDAAAAAGAggjcAAAAAAAYieAMAAAAAYCCCNwAAAAAABiJ4AwAAAABgIII3AAAAAAAGIngDAAAAAGAggjcAAAAAAAYieAMAAAAAYCCCNwAAAAAABiJ4AwAAAABgIII3AAAAAAAGIngDAAAAAGAggjcAAAAAAAYieAMAAAAAYCCCNwAAAAAABiJ4AwAAAABgIII3AAAAAAAGIngDAAAAAGAggjcAAAAAAAYieAMAAAAAYCCCNwAAAAAABiJ4AwAAAABgIII3AAAAAAAGIngDAAAAAGAggjcAAAAAAAYieAMAAAAAYKC7Ct4zZsxQQECAPD09FRoaqk2bNmW77ezZs9WoUSOVKFFCJUqUUFhYWKbte/ToIRcXF7tH8+bN76Y0AAAAAAAcSq6D96JFixQZGakRI0Zo69atqlWrlsLDw3XmzJkst1+7dq26dOmiNWvWaOPGjfL391ezZs108uRJu+2aN2+u06dP2x4ff/zx3X0iAAAAAAAciIvVarXm5g2hoaGqV6+epk+fLkmyWCzy9/dXv379NHTo0Nu+PyMjQyVKlND06dPVrVs3STeueCclJWnZsmW5/wSSUlJS5O3treTkZHl5ed3VPu4pFxezK7g3cvel9SdnOD53e2wAAAAAOITc5NBcXfG+evWqfv31V4WFhf25A1dXhYWFaePGjXe0j0uXLunatWsqWbKk3fjatWvl4+OjKlWqqG/fvjp//ny2+0hPT1dKSordAwAAAAAAR5Sr4H3u3DllZGTI19fXbtzX11cJCQl3tI9XXnlFfn5+duG9efPmWrBggeLi4jRx4kStW7dOLVq0UEZGRpb7iImJkbe3t+3h7++fm48BAAAAAMA9U+Be/mUTJkzQJ598orVr18rT09M23rlzZ9ufa9SooZo1a6pixYpau3atmjZtmmk/UVFRioyMtD1PSUkhfAMAAAAAHFKurniXLl1abm5uSkxMtBtPTExU2bJlc3zv5MmTNWHCBK1atUo1a9bMcdugoCCVLl1ahw4dyvJ1Dw8PeXl52T0AAAAAAHBEuQre7u7uqlu3ruLi4mxjFotFcXFxatCgQbbvmzRpksaMGaMVK1YoJCTktn/PiRMndP78eZUrVy435QEAAAAA4HByvZxYZGSkZs+erfnz52vv3r3q27ev0tLSFBERIUnq1q2boqKibNtPnDhRw4cP19y5cxUQEKCEhAQlJCQoNTVVkpSamqrBgwfr559/1tGjRxUXF6e2bduqUqVKCg8P/4c+JgAAAAAA5sj1Pd6dOnXS2bNnFR0drYSEBAUHB2vFihW2hmvHjh2Tq+ufeX7mzJm6evWq/v3vf9vtZ8SIERo5cqTc3Ny0c+dOzZ8/X0lJSfLz81OzZs00ZswYeXh4/M2PBwAAAACAuXK9jrcjYh1vB8U63tnL+//sAAAAAKdm2DreAAAAAAAgdwjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABjoroL3jBkzFBAQIE9PT4WGhmrTpk3Zbjt79mw1atRIJUqUUIkSJRQWFpZpe6vVqujoaJUrV06FChVSWFiYDh48eDelAQAAAADgUHIdvBctWqTIyEiNGDFCW7duVa1atRQeHq4zZ85kuf3atWvVpUsXrVmzRhs3bpS/v7+aNWumkydP2raZNGmSpk2bptjYWP3yyy8qUqSIwsPDdeXKlbv/ZAAAAAAAOAAXq9Vqzc0bQkNDVa9ePU2fPl2SZLFY5O/vr379+mno0KG3fX9GRoZKlCih6dOnq1u3brJarfLz89PAgQM1aNAgSVJycrJ8fX01b948de7c+bb7TElJkbe3t5KTk+Xl5ZWbj2MOFxezK7g3cvel9SdnOD53e2wAAAAAOITc5NBcXfG+evWqfv31V4WFhf25A1dXhYWFaePGjXe0j0uXLunatWsqWbKkJCk+Pl4JCQl2+/T29lZoaGi2+0xPT1dKSordAwAAAAAAR5Sr4H3u3DllZGTI19fXbtzX11cJCQl3tI9XXnlFfn5+tqB983252WdMTIy8vb1tD39//9x8DAAAAAAA7pl72tV8woQJ+uSTT/T555/L09PzrvcTFRWl5ORk2+P48eP/YJUAAAAAAPxzCuRm49KlS8vNzU2JiYl244mJiSpbtmyO7508ebImTJig7777TjVr1rSN33xfYmKiypUrZ7fP4ODgLPfl4eEhDw+P3JQOAAAAAIApcnXF293dXXXr1lVcXJxtzGKxKC4uTg0aNMj2fZMmTdKYMWO0YsUKhYSE2L0WGBiosmXL2u0zJSVFv/zyS477BAAAAAAgL8jVFW9JioyMVPfu3RUSEqL69etr6tSpSktLU0REhCSpW7duKl++vGJiYiRJEydOVHR0tD766CMFBATY7tsuWrSoihYtKhcXFw0YMEBjx45V5cqVFRgYqOHDh8vPz0/t2rX75z4pAAAAAAAmyHXw7tSpk86ePavo6GglJCQoODhYK1assDVHO3bsmFxd/7yQPnPmTF29elX//ve/7fYzYsQIjRw5UpI0ZMgQpaWlqU+fPkpKSlLDhg21YsWKv3UfOAAAAAAAjiDX63g7ItbxdlCs4529vP/PDgAAAHBqhq3jDQAAAAAAcofgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABjoroL3jBkzFBAQIE9PT4WGhmrTpk3Zbrt7927961//UkBAgFxcXDR16tRM24wcOVIuLi52j6pVq95NaQAAAAAAOJRcB+9FixYpMjJSI0aM0NatW1WrVi2Fh4frzJkzWW5/6dIlBQUFacKECSpbtmy2+61WrZpOnz5te2zYsCG3pQEAAAAA4HByHbzfeOMN9e7dWxEREXrooYcUGxurwoULa+7cuVluX69ePb3++uvq3LmzPDw8st1vgQIFVLZsWdujdOnS2W6bnp6ulJQUuwcAAAAAAI4oV8H76tWr+vXXXxUWFvbnDlxdFRYWpo0bN/6tQg4ePCg/Pz8FBQXp6aef1rFjx7LdNiYmRt7e3raHv7//3/q7AQAAAAAwSq6C97lz55SRkSFfX1+7cV9fXyUkJNx1EaGhoZo3b55WrFihmTNnKj4+Xo0aNdLFixez3D4qKkrJycm2x/Hjx+/67wYAAAAAwEgFzC5Aklq0aGH7c82aNRUaGqoKFSpo8eLF6tWrV6btPTw8cpy2DgAAAACAo8jVFe/SpUvLzc1NiYmJduOJiYk5Nk7LreLFi+uBBx7QoUOH/rF9AgAAAABghlwFb3d3d9WtW1dxcXG2MYvFori4ODVo0OAfKyo1NVWHDx9WuXLl/rF9AgAAAABghlxPNY+MjFT37t0VEhKi+vXra+rUqUpLS1NERIQkqVu3bipfvrxiYmIk3WjItmfPHtufT548qe3bt6to0aKqVKmSJGnQoEFq3bq1KlSooFOnTmnEiBFyc3NTly5d/qnPCQAAAACAKXIdvDt16qSzZ88qOjpaCQkJCg4O1ooVK2wN144dOyZX1z8vpJ86dUq1a9e2PZ88ebImT56sxx57TGvXrpUknThxQl26dNH58+dVpkwZNWzYUD///LPKlCnzNz8eAAAAAADmcrFarVazi/i7UlJS5O3treTkZHl5eZldzu25uJhdwb1xt19aznB88v4/OwAAAMCp5SaH5uoebwAAAAAAkDsEbwAAAAAADETwBgAAAADAQARvAAAAAAAMRPAGAAAAAMBABG8AAAAAAAxE8AYAAAAAwEAEbwAAAAAADETwBgAAAADAQARvAAAAAAAMRPAGAAAAAMBABG8AAAAAAAxE8AYAAAAAwEAEbwAAAAAADETwBgAAAADAQARvAAAAAAAMRPAGAAAAAMBABG8AAAAAAAxE8AYAAAAAwEAEbwAAAAAADETwBgAAAADAQARvAAAAAAAMRPAGAAAAAMBABG8AAAAAAAxE8AYAAAAAwEAEbwAAAAAADETwBgAAAADAQARvAAAAAAAMRPAGAAAAAMBABG8AAAAAAAxE8AYAAAAAwEAEbwAAAAAADETwBgAAAADAQARvAAAAAAAMRPAGAAAAAMBABG8AAAAAAAxE8AYAAAAAwEAEbwAAAAAADETwBgAAAADAQARvAAAAAAAMRPAGAAAAAMBABG8AAAAAAAxE8AYAAAAAwEAEbwAAAAAADETwBgAAAADAQARvAAAAAAAMdFfBe8aMGQoICJCnp6dCQ0O1adOmbLfdvXu3/vWvfykgIEAuLi6aOnXq394nAAAAAAB5Ra6D96JFixQZGakRI0Zo69atqlWrlsLDw3XmzJkst7906ZKCgoI0YcIElS1b9h/ZJwAAAAAAeYWL1Wq15uYNoaGhqlevnqZPny5Jslgs8vf3V79+/TR06NAc3xsQEKABAwZowIAB/9g+JSklJUXe3t5KTk6Wl5dXbj6OOVxczK7g3sjdl9afnOH43O2xAQAAAOAQcpNDc3XF++rVq/r1118VFhb25w5cXRUWFqaNGzfeVbF3s8/09HSlpKTYPQAAAAAAcES5Ct7nzp1TRkaGfH197cZ9fX2VkJBwVwXczT5jYmLk7e1te/j7+9/V3w0AAAAAgNHyZFfzqKgoJScn2x7Hjx83uyQAAAAAALJUIDcbly5dWm5ubkpMTLQbT0xMzLZxmhH79PDwkIeHx139fQAAAAAA3Eu5uuLt7u6uunXrKi4uzjZmsVgUFxenBg0a3FUBRuwTAAAAAABHkasr3pIUGRmp7t27KyQkRPXr19fUqVOVlpamiIgISVK3bt1Uvnx5xcTESLrRPG3Pnj22P588eVLbt29X0aJFValSpTvaJwAAAAAAeVWug3enTp109uxZRUdHKyEhQcHBwVqxYoWtOdqxY8fk6vrnhfRTp06pdu3atueTJ0/W5MmT9dhjj2nt2rV3tE8AAAAAAPKqXK/j7YhYx9tBsY539vL+PzsAAADAqRm2jjcAAAAAAMgdgjcAAAAAAAYieAMAAAAAYCCCNwAAAAAABiJ4AwAAAABgIII3AAAAAAAGyvU63gBM5AxLrUkstwYAAIB8hSveAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI4A0AAAAAgIEI3gAAAAAAGIjgDQAAAACAgQqYXQAA/GNcXMyuwHhWq9kVAAAAIJe44g0AAAAAgIEI3gAAAAAAGIip5gDgLJiKDwAAYAqueAMAAAAAYCCCNwAAAAAABiJ4AwAAAABgIII3AAAAAAAGIngDAAAAAGAggjcAAAAAAAYieAMAAAAAYCCCNwAAAAAABiJ4AwAAAABgIII3AAAAAAAGIngDAAAAAGAggjcAAAAAAAYieAMAAAAAYCCCNwAAAAAABiJ4AwAAAABgIII3AAAAAAAGIngDAAAAAGAggjcAAAAAAAYieAMAAAAAYCCCNwAAAAAABiJ4AwAAAABgIII3AAAAAAAGIngDAAAAAGCguwreM2bMUEBAgDw9PRUaGqpNmzbluP2nn36qqlWrytPTUzVq1NDy5cvtXu/Ro4dcXFzsHs2bN7+b0gAAAAAAcCi5Dt6LFi1SZGSkRowYoa1bt6pWrVoKDw/XmTNnstz+p59+UpcuXdSrVy9t27ZN7dq1U7t27bRr1y677Zo3b67Tp0/bHh9//PHdfSIAAAAAAByIi9VqtebmDaGhoapXr56mT58uSbJYLPL391e/fv00dOjQTNt36tRJaWlp+vrrr21jDz/8sIKDgxUbGyvpxhXvpKQkLVu27K4+REpKiry9vZWcnCwvL6+72sc95eJidgX3Ru6+tP7kDMeHY5Mzjk/27vbYSBwfAACAf1BucmiurnhfvXpVv/76q8LCwv7cgaurwsLCtHHjxizfs3HjRrvtJSk8PDzT9mvXrpWPj4+qVKmivn376vz589nWkZ6erpSUFLsHAAAAAACOKFfB+9y5c8rIyJCvr6/duK+vrxISErJ8T0JCwm23b968uRYsWKC4uDhNnDhR69atU4sWLZSRkZHlPmNiYuTt7W17+Pv75+ZjAAAAAABwzxQwuwBJ6ty5s+3PNWrUUM2aNVWxYkWtXbtWTZs2zbR9VFSUIiMjbc9TUlII3wAAAAAAh5SrK96lS5eWm5ubEhMT7cYTExNVtmzZLN9TtmzZXG0vSUFBQSpdurQOHTqU5eseHh7y8vKyewAAAAAA4IhyFbzd3d1Vt25dxcXF2cYsFovi4uLUoEGDLN/ToEEDu+0lafXq1dluL0knTpzQ+fPnVa5cudyUBwAAAACAw8n1cmKRkZGaPXu25s+fr71796pv375KS0tTRESEJKlbt26Kioqybd+/f3+tWLFCU6ZM0b59+zRy5Eht2bJF//vf/yRJqampGjx4sH7++WcdPXpUcXFxatu2rSpVqqTw8PB/6GMCAAAAAGCOXN/j3alTJ509e1bR0dFKSEhQcHCwVqxYYWugduzYMbm6/pnnH3nkEX300Ud67bXX9Oqrr6py5cpatmyZqlevLklyc3PTzp07NX/+fCUlJcnPz0/NmjXTmDFj5OHh8Q99TAAAAAAAzJHrdbwdEet4OyjWYs4exyZnHJ/ssY53zvL+jzQAAJBHGLaONwAAAAAAyB2CNwAAAAAABiJ4AwAAAABgIII3AAAAAAAGIngDAAAAAGAggjcAAAAAAAYieAMAAAAAYCCCNwAAAAAABiJ4AwAAAABgIII3AAAAAAAGIngDAAAAAGAggjcAAAAAAAYieAMAAAAAYCCCNwAAAAAABiJ4AwAAAABgIII3AAAAAAAGIngDAAAAAGAggjcAAAAAAAYieAMAAAAAYCCCNwAAAAAABiJ4AwAAAABgIII3AAAAAAAGIngDAAAAAGAggjcAAAAAAAYieAMAAAAAYCCCNwAAAAAABiJ4AwAAAABgIII3AAAAAAAGIngDAAAAAGAggjcAAAAAAAYqYHYBAACYzsXF7AqMZ7Xe/Xs5PgAA/C0EbwAAgLvFSQkAwB0geAMAAMAYnJgAAEnc4w0AAAAAgKEI3gAAAAAAGIjgDQAAAACAgQjeAAAAAAAYiOANAAAAAICBCN4AAAAAABiI5cQAAACAe42l1gCnwhVvAAAAAAAMRPAGAAAAAMBABG8AAAAAAAxE8AYAAAAAwEA0VwMAAADgWGg+h3yGK94AAAAAABiI4A0AAAAAgIHuKnjPmDFDAQEB8vT0VGhoqDZt2pTj9p9++qmqVq0qT09P1ahRQ8uXL7d73Wq1Kjo6WuXKlVOhQoUUFhamgwcP3k1pAAAAAJB/ubg4xyOfyXXwXrRokSIjIzVixAht3bpVtWrVUnh4uM6cOZPl9j/99JO6dOmiXr16adu2bWrXrp3atWunXbt22baZNGmSpk2bptjYWP3yyy8qUqSIwsPDdeXKlbv/ZAAAAAAAOAAXqzV3d/WHhoaqXr16mj59uiTJYrHI399f/fr109ChQzNt36lTJ6Wlpenrr7+2jT388MMKDg5WbGysrFar/Pz8NHDgQA0aNEiSlJycLF9fX82bN0+dO3e+bU0pKSny9vZWcnKyvLy8cvNxzJEPz+Bk6W4bRjjD8eHY5Izjk72/04iF45M9jk3OOD7Z49jkjOOTPY5Nzjg+2XOGYyPlieZzucmhuepqfvXqVf3666+Kioqyjbm6uiosLEwbN27M8j0bN25UZGSk3Vh4eLiWLVsmSYqPj1dCQoLCwsJsr3t7eys0NFQbN27MMninp6crPT3d9jw5OVnSjQ8OB8L/j+xxbHLG8ckexyZnHJ/scWxyxvHJHscmZxyf7HFscsbxyVkeOD438+edXMvOVfA+d+6cMjIy5Ovrazfu6+urffv2ZfmehISELLdPSEiwvX5zLLttbhUTE6NRo0ZlGvf397+zD4J7w9vb7AocF8cmZxyf7HFscsbxyR7HJmccn+xxbHLG8ckexyZnHJ+c5aHjc/HiRXnfpt48uY53VFSU3VV0i8WiCxcuqFSpUnJxlqkXuZCSkiJ/f38dP348b0zFv8c4Ptnj2OSM45M9jk3OOD7Z49jkjOOTPY5Nzjg+2ePY5Izjkz2r1aqLFy/Kz8/vttvmKniXLl1abm5uSkxMtBtPTExU2bJls3xP2bJlc9z+5n8TExNVrlw5u22Cg4Oz3KeHh4c8PDzsxooXL56bj+KUvLy8+MeSA45P9jg2OeP4ZI9jkzOOT/Y4Njnj+GSPY5Mzjk/2ODY54/hk7XZXum/KVVdzd3d31a1bV3FxcbYxi8WiuLg4NWjQIMv3NGjQwG57SVq9erVt+8DAQJUtW9Zum5SUFP3yyy/Z7hMAAAAAgLwi11PNIyMj1b17d4WEhKh+/fqaOnWq0tLSFBERIUnq1q2bypcvr5iYGElS//799dhjj2nKlClq1aqVPvnkE23ZskXvvvuuJMnFxUUDBgzQ2LFjVblyZQUGBmr48OHy8/NTu3bt/rlPCgAAAACACXIdvDt16qSzZ88qOjpaCQkJCg4O1ooVK2zN0Y4dOyZX1z8vpD/yyCP66KOP9Nprr+nVV19V5cqVtWzZMlWvXt22zZAhQ5SWlqY+ffooKSlJDRs21IoVK+Tp6fkPfER4eHhoxIgRmabn4waOT/Y4Njnj+GSPY5Mzjk/2ODY54/hkj2OTM45P9jg2OeP4/DNyvY43AAAAAAC4c7m6xxsAAAAAAOQOwRsAAAAAAAMRvAEAAAAAMBDBGwAAAAAAAxG8AeAO9ezZUxcvXsw0npaWpp49e5pQEQAAAPICgnc+tWDBAqWnp2cav3r1qhYsWGBCRchLrl69qv379+v69etml+JQ5s+fr8uXL2cav3z5Mv+uAAAAkC2Cdz4VERGh5OTkTOMXL15URESECRU5vqSkJLNLMN2lS5fUq1cvFS5cWNWqVdOxY8ckSf369dOECRNMrs48KSkpSk5OltVq1cWLF5WSkmJ7/PHHH1q+fLl8fHzMLtMhcNIva9evX9fo0aN14sQJs0txWAsXLtSjjz4qPz8//f7775KkqVOn6osvvjC5Msdy5coVs0twOMePH7f7t7Vp0yYNGDBA7777rolVOY6kpCS99957ioqK0oULFyRJW7du1cmTJ02uzHxbt27Vb7/9Znv+xRdfqF27dnr11Vd19epVEytDfkTwzqesVqtcXFwyjZ84cULe3t4mVORYJk6cqEWLFtmed+zYUaVKlVL58uW1Y8cOEyszV1RUlHbs2KG1a9fK09PTNh4WFmZ3vJxN8eLFVbJkSbm4uOiBBx5QiRIlbI/SpUurZ8+eevHFF80u0yFw0i9rBQoU0Ouvv84skmzMnDlTkZGRatmypZKSkpSRkSHpxr+9qVOnmlucA7BYLBozZozKly+vokWL6siRI5Kk4cOHa86cOSZXZ76uXbtqzZo1kqSEhAQ9+eST2rRpk4YNG6bRo0ebXJ25du7cqQceeEATJ07U5MmTbRcZli5dqqioKHOLcwDPPfecDhw4IEk6cuSIOnfurMKFC+vTTz/VkCFDTK7OfD/88IOeeeYZNWjQwHaiZuHChdqwYYPJleVNBO98pnbt2qpTp45cXFzUtGlT1alTx/aoVauWGjVqpLCwMLPLNF1sbKz8/f0lSatXr9bq1av17bffqkWLFho8eLDJ1Zln2bJlmj59uho2bGh34qZatWo6fPiwiZWZa82aNYqLi5PVatWSJUv0/fff2x4bNmzQsWPHNGzYMLPLdAic9MveE088oXXr1pldhkN6++23NXv2bA0bNkxubm628ZCQELurUc5q7NixmjdvniZNmiR3d3fbePXq1fXee++ZWJlj2LVrl+rXry9JWrx4sapXr66ffvpJH374oebNm2ducSaLjIxUjx49dPDgQbsT6i1bttT69etNrMwxHDhwQMHBwZKkTz/9VI0bN9ZHH32kefPm6bPPPjO3OJN99tlnCg8PV6FChbRt2zbbbLbk5GSNHz/e5OrypgJmF4B/Vrt27SRJ27dvV3h4uIoWLWp7zd3dXQEBAfrXv/5lUnWOIyEhwRa8v/76a3Xs2FHNmjVTQECAQkNDTa7OPGfPns1yynRaWlqWYcpZPPbYY5Kk+Ph43X///U59LLJTu3Ztubi42E76FSjw54+XjIwMxcfHq3nz5iZWaL4WLVpo6NCh+u2331S3bl0VKVLE7vU2bdqYVJn54uPjVbt27UzjHh4eSktLM6Eix7JgwQK9++67atq0qZ5//nnbeK1atbRv3z4TK3MM165dk4eHhyTpu+++s/1bqlq1qk6fPm1maabbvHmzZs2alWm8fPnySkhIMKEix2K1WmWxWCTd+Np56qmnJEn+/v46d+6cmaWZbuzYsYqNjVW3bt30ySef2MYfffRRjR071sTK8i6Cdz4zYsQISVJAQIA6depkd3YTfypRooSOHz8uf39/rVixwvYNxGq12qY4OqOQkBB988036tevnyTZAuZ7772nBg0amFmaaXbu3Gn3PKerbzVr1jS6HIfFSb/be+GFFyRJb7zxRqbXXFxcnPp7T2BgoLZv364KFSrYja9YsUIPPvigSVU5jpMnT6pSpUqZxi0Wi65du2ZCRY6lWrVqio2NVatWrbR69WqNGTNGknTq1CmVKlXK5OrM5eHhoZSUlEzjBw4cUJkyZUyoyLGEhIRo7NixCgsL07p16zRz5kxJN04G+vr6mlydufbv36/GjRtnGvf29qYv0l0ieOdT3bt3V1JSkj744AMdPnxYgwcPVsmSJbV161b5+vqqfPnyZpdoqg4dOqhr166qXLmyzp8/rxYtWkiStm3bluUvN85i/PjxatGihfbs2aPr16/rrbfe0p49e/TTTz857RTZ4OBgubi4yGq15ridswcnTvrd3s2rKsgsMjJSL774oq5cuSKr1apNmzbp448/VkxMDFOpJT300EP64YcfMp2YWLJkSZYzBZzNxIkT1b59e73++uvq3r27atWqJUn68ssvbVPQnVWbNm00evRoLV68WNKNn1XHjh3TK6+84vQnQ6UbDRyffvppLVu2TMOGDbP9DrhkyRI98sgjJldnrrJly+rQoUMKCAiwG9+wYYOCgoLMKSqPI3jnUzt37lRYWJi8vb119OhR9e7dWyVLltTSpUt17Ngxp+4uLElvvvmmAgICdPz4cU2aNMl2de706dO2q1LOqGHDhtq+fbsmTJigGjVqaNWqVapTp442btyoGjVqmF2eKeLj480uIU/hpN+duXLlCicn/uLZZ59VoUKF9Nprr+nSpUvq2rWr/Pz89NZbb6lz585ml2e66Ohode/eXSdPnpTFYtHSpUu1f/9+LViwQF9//bXZ5ZmuSZMmOnfunFJSUlSiRAnbeJ8+fVS4cGETKzPflClT9O9//1s+Pj66fPmyHnvsMSUkJKhBgwYaN26c2eWZKiMjQ0lJSVq/fr3d140kvf7663b9JpxR79691b9/f82dO1cuLi46deqUNm7cqEGDBmn48OFml5cnuVhvdxkHeVLTpk1Vt25dTZo0ScWKFdOOHTsUFBSkn376SV27dtXRo0fNLhFAPnTrSb/9+/crKChIr732mtOf9MvIyND48eMVGxurxMREHThwQEFBQRo+fLgCAgLUq1cvs0t0CJcuXVJqaipL9N3ihx9+0OjRo7Vjxw6lpqaqTp06io6OVrNmzcwuDXnAhg0btHPnTtvXDo12b/D09NTevXsVGBhodikOx2q1avz48YqJidGlS5ck3bh1YdCgQbbbOZA7BO98ytvbW1u3blXFihXtgvfvv/+uKlWqsA6obtz7tWHDBp05cybTFNCXXnrJpKrMldV9YNKNqWkeHh523XSdxZdffqkWLVqoYMGC+vLLL3Pc1pmbY93ESb/sjR49WvPnz9fo0aPVu3dv7dq1S0FBQVq0aJGmTp2qjRs3ml2iaUaPHq2GDRvqiSeesBtPS0vTlClTFB0dbVJl5rt+/brGjx+vnj176r777jO7HId0/vx5RUdHa82aNVn+TL+5djVwq5CQEE2cOFFNmzY1uxSHdfXqVR06dEipqal66KGH7Hq4IHcI3vmUj4+PVq5cqdq1a9v98rt69Wr17NlTx48fN7tEU82bN0/PPfec3N3dVapUKbsu1S4uLrY1Up2Nq6trjh2777vvPvXo0UMjRoyQq6tzrEbo6uqqhIQE+fj45PiZnf0e75s46Ze9SpUqadasWWratKndsdm3b58aNGigP/74w+wSTePq6qqCBQsqJiZGkZGRtvHExET5+fk5/b+tokWLateuXZnutcQNLVu21KFDh9SrVy/5+vpm+jnWvXt3kyoz3+3WMXfmk1rSjQaOUVFRGjNmTJarTXh5eZlUGfIj7vHOp2imkbPhw4crOjpaUVFRThMg78S8efM0bNgw9ejRw9aQZtOmTZo/f75ee+01nT17VpMnT5aHh4deffVVk6u9N/565YTmWLdHB93s0Zk6ZwsWLNCLL76o3377TbNmzXLKGTbZadq0qdatW0fwzsYPP/ygDRs22Jqq4U+ff/653fNr164pPj5eBQoUUMWKFZ0+eLds2VLSjd+b/3rCxmq1Ov0J9ccffzzHizHff//9PawmfyB451M008jZpUuX1LlzZ0L3LebPn68pU6aoY8eOtrHWrVurRo0amjVrluLi4nT//fdr3LhxThO8kTuc9Msenalz9vjjj+uXX35R69at1aRJEy1btszskhwGa8DnrGrVqrp8+bLZZTikbdu2ZRpLSUlRjx491L59exMqcixr1qwxuwSHFRwcbPf82rVr2r59u3bt2uXUs0j+Dqaa53M008jakCFDVLJkSQ0dOtTsUhxKoUKFtHPnTlWuXNlu/ODBg6pVq5YuXbqk+Ph4VatWzdZow5kwZe/2kpOT9e9//1tbtmzRxYsX5efnZzvpt3z58kyBwZl88cUX6t69u6KiojR69GiNGjXKrjP1k08+aXaJpnFzc9Pp06fl4+OjlJQUdezYUbt371ZsbKzatGnj1FedJHGby21s3rxZQ4cOVXR0tKpXr66CBQvavc504cx+++03tW7d2qn7buDujBw5UqmpqZo8ebLZpeQ5BG8ncOXKFXl4eOQ4XcTZZGRk6KmnntLly5dVo0aNTD+k33jjDZMqM9cDDzygDh06aMKECXbjQ4cO1eeff679+/dry5Ytatu2rU6ePGlSlea59arkrVP2tm7dalJljoeTflmjM3XW/tpLQbox/X7AgAGaOXOmLBaL0wdL5OzgwYPq2rVrpu/BTBfO3oYNG9S6dWun7i1xU1JSkubMmaO9e/dKkqpVq6aePXvK29vb5Moc06FDh1S/fn2aFt4FpprnUxaLRePGjWPZmmzExMRo5cqVqlKliiRlaq7mrCZPnqz//Oc/+vbbb1WvXj1J0pYtW7R371599tlnkm5cWejUqZOZZZqGKXt3rmHDhgoJCeGk3y0aNWqk1atXm12Gw3n//fftfsl1dXXVtGnTVLt2ba1fv97EypAXPP300ypYsKA++uijLJurObNp06bZPbdarTp9+rQWLlyoFi1amFSV49iyZYvCw8NVqFAhW2+bN954Q+PGjdOqVatUp04dkyt0PBs3bpSnp6fZZeRJXPHOp1i2JmclSpTQm2++qR49ephdisM5evSoYmNjdeDAAUlSlSpV9Nxzzyk1NVXVq1c3uTrHxJS9P3HSL3tBQUHavHmzSpUqZTeelJSkOnXqOO1qCrgz69at0+TJk21X5R566CENHjxYjRo1Mrky8xUuXFjbtm2znUzHn25dn9rV1VVlypTRE088oaioKBUrVsykyhxDo0aNVKlSJc2ePVsFCty4Hnn9+nU9++yzOnLkiFOf+OvQoYPd85snbbZs2aLhw4drxIgRJlWWd3HFO59asGCB3n33XTVt2lTPP/+8bbxWrVrat2+fiZU5Bg8PDz366KNml+GQAgICbFPNU1JS9PHHH6tTp07asmUL0/WykZycrOTkZLPLcAhjx47V/PnzNWnSJPXu3ds2Xr16dU2dOtWpg/fRo0ez/DeUnp7ulLduTJs2TX369JGnp2emq3J/5eLion79+t3DyhzPBx98oIiICHXo0EEvvfSSJOnHH39U06ZNNW/ePHXt2tXkCs0VEhKi48ePE7yzEB8fb3YJDm3Lli12oVuSChQooCFDhigkJMTEysx361R7V1dXValSRaNHj3b626PuFsE7n2LZmpz1799fb7/9do6/7Dmz9evXa86cOfrss8/k5+enDh06aPr06WaXZTqm7N0eJ/0y+/LLL21/Xrlypd0vMxkZGYqLi3PKZaLefPNNPf300/L09NSbb76Z7XYEb2ncuHGaNGmSXn75ZdvYSy+9pDfeeENjxoxx+uDdr18/9e/fX4MHD86yb0vNmjVNqsxc165dU6FChbR9+3ZmrGXDy8tLx44dU9WqVe3Gjx8/7tSzATIyMhQREaEaNWqoRIkSZpeTbxC88ymWrcnZpk2b9P333+vrr79WtWrVMv2QXrp0qUmVmSchIUHz5s3TnDlzbF2F09PTtWzZMj300ENml+cQbg0HN6fs3exUDU76ZaVdu3aSbgTIW5dgKViwoAICAjRlyhQTKjPXX6/EcVUuZ0eOHFHr1q0zjbdp04alHSVb35GePXvaxlxcXJy+uVrBggV1//33O+3nvxOdOnVSr169NHnyZD3yyCOSbswmGTx4sLp06WJydeZxc3NTs2bNtHfvXoL3P4jgnU9FR0ere/fuOnnypCwWi5YuXWq3bI2zK168eKZ7V5xZ69attX79erVq1UpTp05V8+bN5ebmptjYWLNLcyiEg9vjpF9mFotF0o17LTdv3qzSpUubXJHju379uq5cuaKiRYuaXYpD8Pf3V1xcXKaTWt999538/f1Nqspx8L05e8OGDdOrr76qhQsXqmTJkmaX43AmT54sFxcXdevWTdevX5d044RF3759M63w4myqV6+uI0eOZOoTgLtHc7V8jGVrcKcKFCigl156SX379rVbw7tgwYLasWMHV7xxx1irGrnx1Vdf6fz583aNLseNG6cxY8bo+vXreuKJJ7Ro0SKnv+Iyc+ZMDRgwQD179rS7Kjdv3jy99dZbeu6550yuEI5m/fr1atCggerXr69Dhw7p2rVrqlChgooUKWK3Hctg3nDp0iUdPnxYklSxYkUVLlzY5IrMt2LFCkVFRWnMmDGqW7dupq8dLy8vkyrLuwje+czNM1MspXFnzp49q/3790u60b27TJkyJldkjp9//llz5szRokWL9OCDD+q///2vOnfurHLlyhG8/9+aNWu0detWPfzww3r00Uc1a9YsjRs3TpcvX1a7du00bdo0FSpUyOwyHQIn/bIXFxenuLg4nTlzxnYl/Ka5c+eaVJV5Hn/8cf373//Wiy++KEn66aef1KhRI40ePVoPPvighg0bphYtWuiNN94wuVLzff7555oyZYqtq/mDDz6owYMHq23btiZX5hgOHz6sqVOn2nV979+/vypWrGhyZeZwc3PT6dOnNXPmzBy3ozP1n06cOCFJuu+++0yuxFyjR4/WwIED7e5x/2uucPZbOP4Ognc+c/MbrY+Pj6Qb965MmzZNvr6+JlfmWNLS0tSvXz8tWLDA9suvm5ubunXrprfffttpz3SmpaVp0aJFmjt3rjZt2qSMjAy98cYb6tmzp1M3GZk9e7b69u2rwMBAHT9+XCNGjNC4ceP03//+V66urvrggw+cfloaJ/1ub9SoURo9erRCQkJUrly5TMfq888/N6ky8/j4+GjlypW22xAiIyO1Z88erVixQpK0fPly9e/fXwcPHjSzTDi4lStXqk2bNgoODratWPLjjz9qx44d+uqrr5xypo2rq6sSEhJsvw8iaxaLRWPHjtWUKVOUmpoqSSpWrJgGDhyoYcOGydXV1eQK772bWeLmSazsPPbYY/eoonzEinzFxcXFmpiYaHtetGhR6+HDh02syDH16dPHGhQUZF2+fLk1OTnZmpycbP3mm2+sFStWtD7//PNml+cQ9u3bZx08eLC1bNmyVk9PT2vr1q3NLsk01apVs06bNs1qtVqt3377rbVAgQLWefPm2V5fvHixtWLFimaV5xBcXV3tvvd07NjRmpCQYGJFjqds2bLWBQsWmF2GQ/H09LT+/vvvtuf16tWzTpo0yfb86NGj1sKFC5tRmkPZtGmT9eeff840/vPPP1s3b95sQkWOJTg42PrKK69kGn/llVestWvXNqEi87m4uFjPnDljdhkOb+jQodYyZcpY33nnHeuOHTusO3bssM6YMcNapkwZ66uvvmp2eaa4NUvgn8MV73zm1jOcxYoV044dOxQUFGRyZY6ldOnSWrJkiZo0aWI3vmbNGnXs2FFnz541pzAHlJGRoa+++kpz5861WxbJmRQuXFh79+61NQxzd3fXjh079OCDD0qSjh07psqVKys9Pd3MMk3F957bK1WqlDZt2uS0U1+zUqlSJc2YMUPh4eFKTU1VqVKl9P3339uuWm7dulXh4eFO/z25fv36GjJkiP7973/bjS9dulQTJ07UL7/8YlJljsHT01O//fabXY8SSTpw4IBq1qypK1eumFSZeVxdXdWiRQt5eHjkuJ0zruLyV35+foqNjVWbNm3sxr/44gu98MILOnnypEmVmcfV1VWJiYlOe/ulkehqns+4uLhkmr7I1M/MLl26lOX0ex8fH126dMmEihyXm5ub2rVrZ1sSyRlduXLF7v5tDw8Pu19mPDw8bN1Qgew8++yz+uijjzR8+HCzS3EY//nPfzRgwAC9+uqrWr58ucqWLauHH37Y9vqWLVtUpUoVEyt0DHv27FGdOnUyjdeuXVt79uwxoSLHUqZMGW3fvj1T8N6+fbtTT7UuVqwYvUdu48KFC5nW8JakqlWr6sKFCyZU5BgeeOCB2+YHZz4+d4vgnc9YrVb16NHDFgquXLmi559/PlMnQmc/w9mgQQONGDFCCxYskKenpyTp8uXLGjVqlBo0aGBydXA0Li4uunjxojw9PW1NRVJTU5WSkiJJtv86M0763d6VK1f07rvv6rvvvlPNmjVVsGBBu9edsYFYdHS0Tp48qZdeeklly5bVBx98IDc3N9vrH3/8cZbrVzsbDw8PJSYmZppBcvr0aRUowK9yvXv3Vp8+fXTkyBG7ru8TJ05UZGSkydWZZ9q0aU594uFO1KpVS9OnT9e0adPsxqdPn65atWqZVJX5Ro0aJW9vb7PLyHeYap7PRERE3NF277//vsGVOLZdu3YpPDxc6enptm+sO3bskKenp1auXKlq1aqZXCEciaura5YdPW997swdPm+d1vjVV1/piSee4KTfXzz++OPZvubi4qLvv//+HlaTN/34448KCQm57fTZ/KZLly46ffq0vvjiC9svw0lJSWrXrp18fHy0ePFikys0l9Vq1dSpUzVlyhSdOnVK0o0pxIMHD9ZLL73klCcBb222i6ytW7dOrVq10v3332+78LJx40YdP35cy5cvV6NGjUyu8N6jMZ9xCN5O7sSJE/Lz83PKro2XLl3Shx9+qH379km6sTTL008/zbQsZLJu3bo72s6ZO3xy0g/3gpeXl7Zv3+50vQNOnjypxo0b6/z587YO8Nu3b5evr69Wr14tf39/kyt0HBcvXpQkp16JQyI85capU6c0Y8YMu98HX3jhBfn5+ZlcmTk4aWMcgreTc9ZfYgAjTZgwQc8//7yKFy9udilwQIcOHdLhw4fVuHFjFSpUKNMMCmTPmZv2paWl6cMPP9SOHTtUqFAh1axZU126dMl0y4IzO3v2rPbv3y/pxj26pUuXNrki86xbt06PPvroHd+KUKNGDS1fvpyTOMj1SRtnvoiXWwRvJ+fMv8QcPnxYU6dOta1TWK1aNb300kt0HMbfxgktwmVWzp8/r44dO2rNmjVycXHRwYMHFRQUpJ49e6pEiRKaMmWK2SU6PGf+mYXspaWlqV+/flqwYIEsFoukG1ftunXrprfffluFCxc2uULH50z/tnbu3HnH29asWdPASvIHfue5c5yagFNauXKlHnroIW3atEk1a9ZUzZo19fPPP6tatWpavXq12eUhj3Pm85nnz59X06ZN9cADD6hly5Y6ffq0JKlXr14aOHCgydWZ6+WXX1bBggV17NgxuyDQqVMnrVixwsTK4KgOHDigTZs22Y3FxcXp8ccfV/369TV+/HiTKnMskZGRWrdunb766islJSUpKSlJX3zxhdatW+f033eQWXBwsGrXrq3g4OAcHzdv60DOnPl3ntyiFSac0tChQ/Xyyy9rwoQJmcZfeeUVPfnkkyZVBuRtfw2XN9c5l26Ey8jISKe+qrtq1SqtXLlS9913n9145cqV9fvvv5tUFRzZK6+8oho1aqh+/fqSpPj4eLVu3VqNGjVSzZo1FRMTo8KFC2vAgAHmFmqyzz77TEuWLFGTJk1sYy1btlShQoXUsWNHzZw507zi4HDi4+PNLgFOiuANp7R3794su8D27NlTU6dOvfcFAfkE4TJ7aWlpWU55vXDhgtN16b5bzna7wpYtWzRkyBDb8w8//FAPPPCAVq5cKenGNNi3337b6YP3pUuX5Ovrm2ncx8dHly5dMqEiOLIKFSqYXQKcFFPNnZyz/RJzU5kyZbR9+/ZM49u3b6eLI/A3EC6z16hRIy1YsMD23MXFRRaLRZMmTcpxqTH8ydmmNJ47d87uJNaaNWvs1jVv0qSJjh49akJljqVBgwYaMWKErly5Yhu7fPmyRo0aZVsiCvirxo0bKykpyfb8yy+/1OXLl80rCE6BK95Oztl+ibmpd+/e6tOnj44cOaJHHnlE0o31YSdOnKjIyEiTqwPyrpvhcsyYMZIIl381adIkNW3aVFu2bNHVq1c1ZMgQ7d69WxcuXNCPP/5odnmmu379utauXavDhw+ra9euKlasmE6dOiUvLy8VLVpU0p9LRTmLkiVL6vTp0/L395fFYtGWLVvsfkZdvXrVaX+O/9XUqVPVvHlz3XfffapVq5YkaceOHfL09LTNDgD+asOGDbp69art+TPPPEODsLvkrBfx7gbBO5+7XWfhPXv2OOU6hcOHD1exYsU0ZcoURUVFSZL8/Pw0cuRIvfTSSyZXB0d0/fp1ffTRRwoPD89ySuNfNWrUyGnXgydcZq969eo6cOCApk+frmLFiik1NVUdOnTQiy++qHLlypldnql+//13NW/eXMeOHVN6erqefPJJFStWTBMnTlR6erpiY2PNLtEUTZo00ZgxY/TOO+/o008/lcVisbuPec+ePQoICDCtPkdRo0YNHTx4UB9++KFtLeYuXbro6aefdtrvxbk1a9as2/5sy884gXX3OHZ3juXE8qnz58+rU6dO+v7771m25ha3BqibV1CKFStmcmVwdIULF9bevXu5P+w2kpOTNX36dO3YsUOpqamqU6cO4RI5ateunYoVK6Y5c+aoVKlStmWN1q5dq969e+vgwYNml2iKo0eP6sknn9Thw4fl5uamadOmqW/fvrbX27Vrp8DAQL355psmVmmua9euqWrVqvr666/tGjoiZ4mJiZo1a5aio6PNLsUUt65V7UzLqf3Tjh8/Lj8/P7m5uZldisPjinc+9fLLL6tAgQJ0Fs5CgQIF9Pzzz9vW7yZw407Vr19f27dvJ3hn49q1a2revLliY2M1bNgws8txGAcPHlR0dLRmzZolLy8vu9eSk5PVt29fjR071ql/4fvhhx/0008/yd3d3W48ICBAJ0+eNKkq8wUEBGjv3r3avXu3ypQpk2mG2qhRozI1MnQ2BQsWtLu3G3cmISFBo0aNctrgLd1YWtbb21uSZLFYFBcXp127dtlt06ZNGzNKc2iHDx9W79699f3330uS/P39Ta4o7yB451N0Fs5Z/fr1tW3bNgIUcuWFF15QZGSkjh8/rrp166pIkSJ2r9esWdOkyhxDwYIFtXPnTrPLcDivv/66/P39M4VuSfL29pa/v79ef/11p17yyGKxKCMjI9P4iRMnnP7kaIECBWz3Ld/q1nEvLy+nvE/1xRdf1MSJE/Xee++pQAF+tZV02+/F+/fvv0eVOK7u3bvbPX/uuefsnru4uGT5fcnZpaamat26dWaXkSfx3SmforNwzl544QUNHDhQJ06cIEDhjnXu3FmS7PoAuLi42Hon8AP6RoOaOXPmaMKECWaX4jDWrVunDz74INvXO3bsqK5du97DihxPs2bNNHXqVL377ruSbvy7Sk1N1YgRI9SyZUuTq8s7nPXuwc2bNysuLk6rVq1SjRo1Mv1MX7p0qUmVmSc4ONj28+lWf/255awsFovZJTisadOm5fi6M89C+ru4xzufatmyperWrasxY8aoWLFi2rlzpypUqKDOnTvLYrFoyZIlZpdoKlfXzCvpEaBwO7ebLcIMCqlfv35asGCBKleunOVJrTfeeMOkysxTqFAh7du3L9uvj99//10PPvigU683fOLECYWHh8tqtergwYMKCQnRwYMHVbp0aa1fv55lHu+Qs96nGhERkePr77///j2qxHGULl3a1uwyK7t371br1q35fecOtWrVSu+9955T9CpxdXVVuXLlMt36c9PVq1eVkJDA185d4Ip3PkVn4ZzFx8ebXQLyIIL17e3atUt16tSRJB04cMDuNWe9uuLt7a3Dhw9n+/Vz6NChLKehO5P77rtPO3bs0CeffKKdO3cqNTVVvXr1ois17ogzBuvbqVu3rk6dOpXt952kpCSnnSFxN9avX+8063xXqFBBEydOVMeOHbN8ffv27apbt+49rip/IHjnUyxbkzMCFP6OPXv26NixY3ZrgEo0YZGkNWvWmF2Cw2ncuLHefvttPfHEE1m+Pm3aNDVq1OgeV+V4ChQooGeeecbsMoB84fnnn1daWlq2r99///2csECW6tatq19//TXb4J3dLQy4Paaa50N/7SxcuXJls8txGF9++eUdb0uAQlaOHDmi9u3b67fffrP7wXPzSi7TrpCVbdu2qUGDBnrqqac0ZMgQValSRZK0b98+TZo0Sd98841++ukn20wBZ5Td92cXFxd5enqqUqVKCgwMvMdV5T3O2lwtMTFRgwYNUlxcnM6cOZMpFPC9GX+XM93GsWfPHl26dEkhISFZvn7t2rUcZ1Mge1zxzofoLJy1du3a2T2/9YzdX6fB8kMaWenfv78CAwMVFxenwMBAbdq0SefPn9fAgQM1efJks8tzGFu2bNHixYuznBXgjE2OateurSVLlqhnz576/PPP7V4rVaqUFi9e7NShW7rx/Tmrqyh/7b3RsGFDLVu2TCVKlDCpSsfnrNdSevTooWPHjmn48OEqV66c097W8nc460kbZPbQQw/l+HrBggXtQvePP/6okJAQmjffgcwdppAv3OwsjD9ZLBbbY9WqVQoODta3336rpKQkJSUlafny5apTp45WrFhhdqlwUBs3btTo0aNVunRpubq6ytXVVQ0bNlRMTIxdp3Nn9sknn+iRRx7R3r179fnnn+vatWvavXu3vv/+e9t6qc7oqaee0u+//64lS5ZowoQJiomJ0WeffaajR48yw0bS6tWrVa9ePa1evVrJyclKTk7W6tWrFRoaqq+//lrr16/X+fPnNWjQILNLdWjffvutypcvb3YZ99yGDRv04Ycfqm/fvmrXrp3atm1r98DtOetJG/x9LVq0oNP5HeKKdz51/fp1zZ07V9999x2dhbMwYMAAxcbGqmHDhrax8PBwFS5cWH369NHevXtNrA6OKiMjw7amcOnSpXXq1ClVqVJFFSpUYE3U/zd+/Hi9+eabevHFF1WsWDG99dZbCgwM1HPPPef0/SUKFSqk9u3b33a7GjVqaPny5fL3978HVTmG/v37691339UjjzxiG2vatKk8PT3Vp08f7d69W1OnTlXPnj1NrNI8GRkZmjdvnm0q9a1LIX3//feSZPczzZn4+/sTHAGT8G/vzhG88yk6C+fs8OHDKl68eKZxb29vHT169J7Xg7yhevXq2rFjhwIDAxUaGqpJkybJ3d1d7777LtPz/t/hw4fVqlUrSZK7u7vS0tLk4uKil19+WU888YRGjRplcoWO7+jRo7p27ZrZZdxThw8fzrKzu5eXl44cOSJJqly5ss6dO3evS3MI/fv317x589SqVStVr16dn+O3mDp1qoYOHapZs2YpICDA7HKQD7366qsqWbKk2WUgjyN451N0Fs5ZvXr1FBkZqYULF8rX11fSjeYsgwcPVv369U2uDo7qtddes3WJHT16tJ566ik1atRIpUqV0qJFi0yuzjGUKFFCFy9elCSVL19eu3btUo0aNZSUlOTU61QjZ3Xr1tXgwYO1YMEClSlTRpJ09uxZDRkyRPXq1ZMkHTx40KlmAfzVJ598osWLF6tly5Zml+IwSpQoYXcCIi0tTRUrVlThwoVVsGBBu20vXLhwr8tDHnLq1Clt2LAhy9kkN28ji4qKMqM05DMEbziluXPnqn379rr//vttv8gdP35clStX1rJly8wtDg4rPDzc9udKlSpp3759unDhQqZfAJ1Z48aNtXr1atWoUUP/+c9/1L9/f33//fdavXq1mjZtanZ5cFBz5sxR27Ztdd9999l9Tw4KCtIXX3whSUpNTdVrr71mZpmmcXd3V6VKlcwuw6FMnTrV7BLyFWf9GTZv3jw999xzcnd3V6lSpeyOg4uLC/1b8I9iObF8jM7CObNarVq9erX27dsnSXrwwQcVFhbmtD98cOcOHTqkw4cPq3HjxipUqJCt6zJuXFm6cuWK/Pz8ZLFYNGnSJP3000+qXLmyXnvtNTpS3wFnWrbmr242vrx5e1SVKlX05JNPytWVPrBTpkzRkSNHNH36dL7XwBDO+n3H399fzz//vKKiovhec5foiH/nCN751CeffKJu3bopPDxcq1atUrNmzXTgwAElJiaqffv2ev/9980u0WFcuXJFHh4e/DKD2zp//rw6duyoNWvWyMXFRQcPHlRQUJB69uypEiVKaMqUKWaXiHzAWX8BRvbat2+vNWvWqGTJkqpWrVqmqdTOfjLdzc1Np0+flo+Pj934+fPn5ePjwxKhd2DDhg2qV6+e0y0JVapUKW3atEkVK1Y0u5Q8i59Zd46p5vkUnYVzZrFYNG7cOMXGxioxMVEHDhxQUFCQhg8froCAAPXq1cvsEuGAXn75ZRUsWFDHjh3Tgw8+aBvv1KmTIiMjCd6Sjh07luPr999//z2qBHlNWlqa1q1bl+UsLWef7lm8ePE76ojvrLK7hpSeni53d/d7XI35IiMj73jbm6vcOGtH/F69eunTTz/V0KFDzS4lz7rZ1wW3R/DOp+gsnLOxY8dq/vz5mjRpknr37m0br169uqZOnUrwRpZWrVqllStX6r777rMbr1y5sn7//XeTqnIsAQEBOc4e4crT7c2aNcvW9NFZbNu2TS1bttSlS5eUlpamkiVL6ty5cypcuLB8fHycPngzSy1r06ZNk3TjXtz33ntPRYsWtb2WkZGh9evXq2rVqmaVZ5pt27bd0XbM9JNiYmL01FNPacWKFapRo0am2STOvPxuYmKiBg0aZFvG8NYTXPw8zz2Cdz5FZ+GcLViwQO+++66aNm2q559/3jZeq1Yt2z3fwK3S0tJUuHDhTOMXLlxwuul52bn1F75r165p27ZteuONNzRu3DiTqnIc69at0+TJk7V3715J0kMPPaTBgwerUaNGtm26du1qVnmmefnll9W6dWvFxsbK29tbP//8swoWLKhnnnlG/fv3N7s8h3H27Fnt379f0o174G92gHdWb775pqQbV7xjY2Pl5uZme83d3V0BAQGKjY01qzzTsLLNnYuJidHKlStVpUoVScrUXM2Z9ejRQ8eOHdPw4cNVrlw5pz8e/wSCdz5FZ+GcnTx5MssOsRaLxenWz8XtnTp1Sn5+fmrUqJEWLFigMWPGSLrxQ/lmA7HHH3/c5CodQ61atTKNhYSEyM/PT6+//ro6dOhgQlWO4YMPPlBERIQ6dOhgu4L7448/qmnTppo3b55TBu6btm/frlmzZsnV1VVubm5KT09XUFCQJk2apO7duzv1141046Rfv379tGDBAttyR25uburWrZvefvvtLE8IOoP4+HhJ0uOPP66lS5fSvPE2Tpw4IUmZZm05sylTpmju3Lnq0aOH2aU4nA0bNuiHH35QcHCw2aXkG7Tvy6emT5+uzp07S5KGDRumyMhIJSYm6l//+pfmzJljcnXme+ihh/TDDz9kGl+yZIlq165tQkVwZNWqVdNHH32k119/Xe+++65atGihq1evasiQIapevbrWr1+viRMnml2mQ6tSpYo2b95sdhmmGjdunCZNmqRFixbppZde0ksvvaRFixZpwoQJtpM5zqpgwYK2jsI+Pj62XgHe3t46fvy4maU5hMjISK1bt05fffWVkpKSlJSUpC+++ELr1q3TwIEDzS7PdGvWrCF0Z8NisWj06NHy9vZWhQoVVKFCBRUvXlxjxozJtGa1M/Lw8NCjjz5qdhkOyd/fP9v+Cbg7XPHOp0qWLGn7s6urK00jbhEdHa3u3bvr5MmTslgsWrp0qfbv368FCxbo66+/Nrs8OJhx48bpueeeU/PmzbVnzx7FxsaqWLFiSk1NVYcOHfTiiy/StPD/paSk2D23Wq06ffq0Ro4cqcqVK5tUlWM4cuSIWrdunWm8TZs2evXVV02oyHHUrl1bmzdvVuXKlfXYY48pOjpa586d08KFC1W9enWzyzPdZ599piVLlqhJkya2sZYtW6pQoULq2LGjZs6caV5xDuLEiRP68ssvs2zO58z36Q4bNkxz5szRhAkTbAFzw4YNGjlypK5cueL0twD1799fb7/9tq1fAP40depUDR06VLNmzVJAQIDZ5eQLLCeWT9FZ+PZ++OEHjR49Wjt27FBqaqrq1Kmj6OhoNWvWzOzS4IDi4+PVq1cv7dmzR++++67atGljdkkOydXVNdN9YFarVf7+/vrkk0/UoEEDkyozX6VKlTR48GA999xzduOxsbGaMmWKDh48aFJl5tuyZYsuXryoxx9/XGfOnFG3bt1s67/PnTs3y1sYnEnhwoX166+/2q2mIEm7d+9W/fr1lZaWZlJljiEuLk5t2rRRUFCQ9u3bp+rVq+vo0aOyWq2qU6eOvv/+e7NLNI2fn59iY2Mz/cz64osv9MILL+jkyZMmVeYY2rdvr++//16lSpViqb5blChRQpcuXdL169dVuHDhTMfmwoULJlWWdxG886msfvn9KzoRAndn+vTpevnll/Xggw+qQAH7SUNbt241qSrHsW7dOrvnrq6uKlOmjCpVqpTpeDmbmTNnasCAAerZs6ceeeQRSTfu8Z43b57eeuutTIHcWVitVh0/flw+Pj7y9PQ0uxyH1LRpU5UqVUoLFiywHaPLly+re/fuunDhgr777juTKzRX/fr11aJFC40aNcq2prCPj4+efvppNW/eXH379jW7RNN4enpq586deuCBB+zG9+/fr+DgYF2+fNmkyhxDREREjq8784oC8+fPz/H17t2736NK8g+Cdz61Y8cOu+e3dhZ29kY1tzpy5IguX76sBx980HafIXCr33//XREREdq1a5eee+65TEFyxIgRJlWGvOLzzz/XlClTbF3NH3zwQQ0ePFht27Y1uTLzWCwWeXp6avfu3U5/O0J2du3apfDwcKWnp9uu/u/YsUOenp5auXKlqlWrZnKF5ipWrJi2b9+uihUrqkSJEtqwYYOqVaumHTt2qG3btjp69KjZJZomNDRUoaGhmaZS9+vXT5s3b9bPP/9sUmWA83Huyw/5GJ2Fs3bt2jWNHTtWW7du1cMPP6yhQ4fqmWee0eLFiyXdaAC1fPly7mVBJrNnz9bAgQMVFham3bt3O/0yPtn58ssv73hbZ5yu3759e7Vv397sMhyKq6urKleurPPnzxO8s1G9enUdPHhQH374oW3Jyy5duujpp59WoUKFTK7OfEWKFLHd112uXDkdPnzYdjLi3LlzZpZmukmTJqlVq1b67rvvbLf6bNy4UcePH9fy5ctNrg6O7vDhw3r//fd1+PBhvfXWW/Lx8dG3336r+++/3+lP+N0Nrng7mUOHDqlWrVpOez/YwIEDtXDhQrVt21bff/+9qlevrv3792vUqFFydXXVmDFjVKNGDX344YdmlwoH0rx5c23atElTp05Vt27dzC7Hod28zeXWHy23jrm4uDjdLS9BQUHavHmzSpUqZTeelJSkOnXq6MiRIyZVZr6vvvpKkyZN0syZM2mmhlxr166dWrVqpd69e2vQoEH64osv1KNHD9sSY84+Ff/UqVOaMWOG7aTNgw8+qBdeeEF+fn4mV2a+wMDAHG/NdObvy+vWrVOLFi306KOPav369dq7d6+CgoI0YcIEbdmyRUuWLDG7xDyHK975FJ2Fs7ZkyRLNmzdPLVu21IEDB1S1alV98803atGihSTZ7gkD/iojI0M7d+5k7dM7sGrVKr3yyisaP3683dWV1157TePHj9eTTz5pcoXmOXr0aJYnG9LT052+wVG3bt106dIl1apVS+7u7pmu4jpjE58vv/xSLVq0UMGCBW87k8QZZ4/81RtvvKHU1FRJ0qhRo5SamqpFixapcuXKTt3R/CY/Pz+n716enQEDBtg9v3lr5ooVKzR48GBzinIQQ4cO1dixYxUZGalixYrZxp944glNnz7dxMryLq5451N0Fs5awYIFdfToUZUvX16SVKhQIe3cudN2MuL06dPy9/fX9evXzSwTyLOqV6+u2NhYNWzY0G78hx9+UJ8+fWz3NjuTm6GpXbt2mj9/vry9vW2vZWRkKC4uTqtXr9b+/fvNKtF0NPHJzNXVVQkJCfLx8cmx94gzzh5B7iQlJWnOnDm277/VqlVTz5497b4Xwd6MGTO0ZcsWp26uVrRoUf32228KDAy0NS0MCgrS0aNHVbVqVV25csXsEvMcrnjnU2vWrLF7TmfhGzIyMuyWQyhQoIDc3Nxsz11dXTNNkQVw5w4fPqzixYtnGvf29nbaBkft2rWTdCMg3RogCxYsqICAAE2ZMsWEyhyHMwbr27FYLFn+GbdHw9Q/bdmyReHh4SpUqJDq168vSbZGu6tWrVKdOnVMrtAxtWjRQlFRUU4dvIsXL67Tp08rMDDQbnzbtm22C1jIHedNYPncY489ZnYJDmvlypW2s7wWi0VxcXHatWuXpBtnhQHcvXr16ikyMlILFy6Ur6+vJCkxMVGDBw+2/dLnbG6GpsDAQG3evFmlS5c2uSLHduXKFVujrJu8vLxMqsYxLFiwQJ06dZKHh4fd+NWrV/XJJ584be8JGqbe3ssvv6w2bdpo9uzZtgsv169f17PPPqsBAwZo/fr1JlfomJYsWaKSJUuaXYapOnfurFdeeUWffvqpXFxcZLFY9OOPP2rQoEFO+z3n72KqeT5FZ+Gs3cmZb6btAXfv0KFDat++vQ4cOCB/f39J0vHjx1W5cmUtW7ZMlSpVMrlCx1ejRg0tX77cdvycQVpaml555RUtXrxY58+fz/S6s39PdnNz0+nTp+Xj42M3fv78efn4+Djt8aFh6u0VKlRI27ZtU9WqVe3G9+zZo5CQEF26dMmkyhxD7dq17W7NtFqtSkhI0NmzZ/XOO++oT58+JlZnrqtXr+rFF1/UvHnzlJGRoQIFCigjI0Ndu3bVvHnz7GaM4s5wxTufateuHZ2Fs8B0PcBYlSpV0s6dO7V69Wq7DrphYWE5do7Fn44ePapr166ZXcY9NWTIEK1Zs0YzZ87Uf//7X82YMUMnT57UrFmzNGHCBLPLM53Vas3y38+JEyec+j5dGqbenpeXl44dO5YpeB8/ftyuYZazatu2rd2/rZu3ZjZp0iTTMXM27u7umj17toYPH65du3YpNTVVtWvXduomzX8XV7zzqe+++47Owv+AVq1a6b333lO5cuXMLgWAk/hrExtncf/992vBggVq0qSJvLy8tHXrVlWqVEkLFy7Uxx9/7LTrDd+8Grdjxw5Vq1bNrkdLRkaG4uPj1bx5c9vUamdDw9Tbe+mll/T5559r8uTJeuSRRyRJP/74owYPHqx//etfmjp1qrkFAk6EK9751IABAzJ1Fg4PD1fhwoWdtrPw3Vi/fr0uX75sdhmAw9u4caPOnz+vp556yja2YMECjRgxQmlpaWrXrp3efvvtTPeoAtKN5cJunmjw8vKyLR/WsGFD9e3b18zSTHWzMd/27dsVHh6uokWL2l5zd3dXQECA/vWvf5lUnflomHp7kydPlouLi7p162Y7AVGwYEH17dvXqWeTZLX6z61cXFyc7qRNZGTkHW/LUn25R/DOp+gsDOBeGj16tJo0aWIL3r/99pt69eqlHj166MEHH9Trr78uPz8/jRw50txC4ZCCgoIUHx+v+++/X1WrVtXixYtVv359ffXVV1n+LHMWI0aMkCQFBASoU6dO8vT0NLkix0PD1Jy5u7vrrbfeUkxMjA4fPixJqlixogoXLmxyZeb6/PPPs31t48aNmjZtmlPenrht2za751u3btX169dVpUoVSdKBAwfk5uamunXrmlFensdU83yqcePG8vT0zNRZuFu3brpy5YrWrVtncoV5gzNO+QTuRrly5fTVV18pJCREkjRs2DCtW7dOGzZskCR9+umnGjFihPbs2WNmmXmCM37fefPNN+Xm5qaXXnpJ3333nVq3bi2r1apr167pjTfeUP/+/c0uEQ6IhqnZS0tL06BBg/Tll1/q6tWratq0qd5++22VKVPG7NIc1v79+zV06FB99dVXevrppzV69GhVqFDB7LJM88Ybb2jt2rWaP3++SpQoIUn6448/FBERoUaNGmngwIEmV5j3ELzzqaw6Cx87dkwPPPAAnYVzwRl/AQbuhqenpw4ePGj7ftOwYUO1aNFCw4YNk3SjYViNGjV08eJFM8vME/i+I/3+++/69ddfValSJdWsWdPsckyXkZGhN998U4sXL9axY8cyLbd2c2o+cFNkZKTeffddPf300/L09NTHH3+sRx99NMcrvc7q1KlTGjFihObPn6/w8HDFxMSoevXqZpdluvLly2vVqlWqVq2a3fiuXbvUrFkznTp1yqTK8i6mmudTWXUWfuihh9S0aVM6CwP4x/n6+io+Pl7+/v66evWqtm7dqlGjRtlev3jxot29mM7uypUr2U4bnjVrlm2mUn53+fJlxcXF2W5RiIqKUnp6uu31n3/+WaNHj3b6KdajRo3Se++9p4EDB+q1117TsGHDdPToUS1btkzR0dFml5dnOFPD1M8//1zvv/++/vOf/0iSunXrpocffljXr1+3a9LnzJKTkzV+/Hi9/fbbCg4OVlxcnBo1amR2WQ4jJSVFZ8+ezTR+9uxZTqLfpdvP0UGesnHjRn399deSbkyvatasmby9vfXGG2+oa9eueu655+x+qQGAf0LLli01dOhQ/fDDD4qKilLhwoXtfoHZuXOnKlasaGKF5rNYLBozZozKly+vokWL6siRI5Kk4cOHa86cObbtunbtqiJFiphV5j01f/58zZo1y/Z8+vTp+umnn7Rt2zZt27ZNCxcu1MyZM02s0DF8+OGHmj17tgYOHKgCBQqoS5cueu+99xQdHa2ff/7Z7PLyDGdqmHrixAk9+uijtud169ZVwYIFuUr5/yZNmqSgoCB9/fXX+vjjj/XTTz8Rum/Rvn17RUREaOnSpTpx4oROnDihzz77TL169VKHDh3MLi9PInjnM6NHj9bu3bttz3/77Tf17t1bTz75pO2+lZiYGBMrzFteffVVlSxZ0uwyAIc3ZswYFShQQI899phmz56t2bNny93d3fb63Llz1axZMxMrNN/YsWM1b948TZo0ye7YVK9eXe+9956JlZnnww8/VJ8+fezGPvroI61Zs0Zr1qzR66+/7rRLZf1VQkKCatSoIUkqWrSokpOTJUlPPfWUvvnmGzNLg4OyWCyZZhkVKFDAKe93z8rQoUN15coVVapUSfPnz1eHDh2yfDiz2NhYtWjRQl27dlWFChVUoUIFde3aVc2bN9c777xjdnl5EnNN8pnt27drzJgxtueffPKJ6tevr9mzZ0uS/P39NWLECDoL68Y9PRs2bNCZM2cyda586aWXJN2Y9gjg9kqXLq3169crOTlZRYsWtVvSR7rRXO2vSyGdOHFCfn5+d9QcKb9YsGCB3n33XTVt2lTPP/+8bbxWrVq2W4KczaFDh2yBUrrRK+CvXxP169fXiy++aEZpDuW+++7T6dOndf/996tixYpatWqV6tSpo82bN7NEH7JktVrVtGlTu2nlly5dUuvWre1O/G3dutWM8kzXrVs3br3MQUZGhrZs2aJx48bp9ddft+uI7ywzsoxA8M5n/vjjD7t7A9etW6cWLVrYnterV0/Hjx83ozSHMm/ePD333HNyd3dXqVKl7L75uri42II3gNy5uazPrW6dOfLQQw9p+/btTtVA7OTJk1k2trRYLLp27ZoJFZkvKSnJ7vanW+8ntFgs3B6lG1M+4+LiFBoaqn79+umZZ57RnDlzdOzYMb388stmlwcHdHMpur9q27atCZU4pnnz5pldgkNzc3NTs2bNtHfvXgUGBtLk8h9C8M5naHB0Z4YPH67o6GhFRUU51RU3wFE444IaDz30kH744YdMy9MsWbJEtWvXNqkqc913333atWuXbY3YW+3cuVP33XffPa7K8UyYMMH2506dOqlChQr66aefVLlyZbVu3drEyuCosgreOfnxxx8VEhLCDArYVK9eXUeOHFFgYKDZpeQbBO985maDo4kTJ2rZsmU0OMrGpUuX1LlzZ0I3gHsmOjpa3bt318mTJ2WxWLR06VLt379fCxYssDXFdDYtW7ZUdHS0WrVqlalz+eXLlzVq1Ci1atXKpOoc18MPP6yHH37Y7DKQj7Ro0cLpZiEhZ2PHjtWgQYM0ZswY1a1bN9MUcy8vL5Mqy7tYxzufOXfunDp06KANGzaoaNGimj9/vtq3b297vWnTpnr44Yc1btw4E6s035AhQ1SyZEkNHTrU7FIAp+Ssa1X/8MMPGj16tHbs2KHU1FTVqVNH0dHRTtt4LjExUcHBwXJ3d9f//vc/PfDAA5Kk/fv3a/r06bp+/bq2bdvmNMurZScmJka+vr7q2bOn3fjcuXN19uxZvfLKKyZVlrfExMSob9++Kl68uNmlOBxn/Z6M7P314tRfb8m0Wq1ycXGhUd9dIHjnU9k1OLpw4YKKFi1q11jDGWVkZOipp57S5cuXVaNGjUzT79944w2TKgOcA7/k4ab4+Hj17dtXq1evtt2C4OLioieffFLvvPMOXyOSAgIC9NFHH+mRRx6xG//ll1/UuXNnxcfHm1SZ47iThqnIHt+Tcat169bl+Ppjjz12jyrJP5hqnk/daYMjZxUTE6OVK1fa7iu8tbkaAGM547+zzZs3y2KxKDQ01G78l19+kZubm0JCQkyqzFyBgYFasWKFLly4oEOHDkmSKlWqxM+rv0hISFC5cuUyjZcpU0anT582oSLHQsNU4J9HsP7nEbzhlKZMmaK5c+eqR48eZpcCOCVnnGz14osvasiQIZmC98mTJzVx4kT98ssvJlXmGEqWLKn69eubXYZD8vf3148//pipydGPP/4oPz8/k6pyHDRMBYxz6dIlHTt2TFevXrUbp9N57hG84ZQ8PDz06KOPml0GkK9cu3ZNhQoV0vbt21W9evUct92zZ4/TBYY9e/aoTp06mcZr166tPXv2mFAR8orevXtrwIABunbtmp544glJUlxcnIYMGaKBAweaXJ35aJj69znjLCTk7OzZs4qIiNC3336b5evc4517fIeCU+rfv7/efvtts8sA8pWCBQvq/vvvv6Mfxv7+/pl6UOR3Hh4eSkxMzDR++vRpFSjAeXBkb/DgwerVq5deeOEFBQUFKSgoSP369dNLL72kqKgos8szXa9evfTpp5+aXUae5oyzkJCzAQMGKCkpSb/88osKFSqkFStWaP78+apcubK+/PJLs8vLk2iuBqfUvn17ff/99ypVqpSqVauWqbna0qVLTaoMyNvmzJmjpUuXauHChdyje4suXbro9OnT+uKLL2x9OJKSktSuXTv5+Pho8eLFJlcIR5eamqq9e/eqUKFCqly5Mmsu/z8apmbv8uXLslqtKly4sCTp999/1+eff66HHnrIaVdTwJ0pV66cvvjiC9WvX19eXl7asmWLHnjgAX355ZeaNGmSNmzYYHaJeQ6n2OGUihcvrg4dOphdBpDvTJ8+XYcOHZKfn58qVKiQad3PrVu3mlSZ+SZPnqzGjRurQoUKql27tiRp+/bt8vX11cKFC02uDnlB0aJFbU3WCN1/omFq9tq2basOHTro+eefV1JSkkJDQ1WwYEGdO3dOb7zxhvr27Wt2iXBQaWlp8vHxkSSVKFFCZ8+e1QMPPKAaNWo49c/yv4PgDaf0/vvvm10CkC+1a9fO7BIcVvny5bVz5059+OGH2rFjhwoVKqSIiAh16dIl0xU64K8sFovGjh2rKVOmKDU1VdKN5Z8GDhyoYcOGOf29zTRMzd7WrVv15ptvSpKWLFkiX19fbdu2TZ999pmio6MJ3shWlSpVtH//fgUEBKhWrVqaNWuWAgICFBsbm+UqC7g9gjcA4B8zYsQIs0twaEWKFFGfPn3MLgN5zLBhwzRnzhxNmDDB1hh0w4YNGjlypK5cuaJx48aZXKG5aJiavUuXLqlYsWKSpFWrVqlDhw5ydXXVww8/rN9//93k6uDI+vfvb1uucMSIEWrevLk+/PBDubu7a968eeYWl0dxj/f/tXenMVFeexjAn4EiIrIpKjJuw1JRBIW0Iq3ltkqwSIss0jSumFRBENEogsbiEquCViNGY6tN1dS4RMGloQiCtVGwlCrjhrKJWCtuiBuOiMz9YJzrXJZSGObMMM8vMZn3vO+H58PE4f+ec/6HDJJMJmtx+Vl5ebkW0xB1LjU1NTh48CDKysoQFxeHHj164Ny5c+jTpw+kUqnoeEKVlJTg5MmTuHv3LhoaGtTuJSYmCkpFus7e3h7btm1DYGCg2viRI0cQFRWFW7duCUqmG9asWYPbt28jJSVFdBSd4+7ujq+++grBwcEYNmwYMjIy4O3tjT///BMBAQGoqqoSHZH0RG1tLa5evYoBAwbA1tZWdBy9xBlvMkjz5s1Tu3758iXOnz+PjIwMxMXFiQlF1AlcuHABvr6+sLKyQkVFBWbOnIkePXogNTUVlZWV2L17t+iIwmzfvh2zZ8+Gra0t7OzsGu1DZeFNzamuroaLi0ujcRcXF1RXVwtIpFvy8/ORk5ODn3/+mQ1T/09iYiImTZqE+fPnY+zYsfD29gbwevb7Ta8Jotbo1q1bk0diUutxxpvoLVu2bEFBQQH3gBO1ka+vLzw9PZGcnAwLCwvI5XI4ODggNzcXkyZNQkVFheiIwgwcOBBRUVGIj48XHYX0jJeXF7y8vBrN6MbExCA/Px+///67oGS6YcaMGS3eN/Tf9KqqKty+fRvDhw9X9QPIz8+HpaVlky90yLDV1NRg7969qv3/kydPxvPnz1X3jY2NsX37dlhbWwtKqL9YeBO9pby8HCNGjMDjx49FRyHSS1ZWVjh37hwcHR3VCu8bN25g8ODBUCgUoiMKY2lpicLCQjg4OIiOQnrm1KlTCAgIwIABA1Qzlnl5ebh58ybS09Px0UcfCU5IRJ3FunXrUFhYiD179gB43chx3Lhxql4BeXl5+PLLL7F8+XKBKfUTl5oTveXgwYM8e5ioHUxNTZt8cVVcXIxevXoJSKQ7wsLCkJmZicjISNFRSM/85z//QXFxMbZs2YKrV68CAEJCQjBr1iysWrWKhTe1qKCgAAcOHEBlZSXq6urU7hnyMnxq2sGDBxs1bExOTla9NE5LS8PKlStZeLcBC28ySB4eHmr7K5VKJaqqqnDv3j1s3bpVYDIi/RYYGIiVK1fiwIEDAF7vXa6srER8fDxCQ0MFpxPLyckJX3/9Nc6ePQs3N7dG+1Dnzp0rKBnpA3t7+0Z/DMvlcvzwww/4/vvvBaXSDWyY2rx9+/Zh2rRpGDduHDIzM+Hn54fi4mLcuXMHwcHBouORDiovL8fgwYNV14MHD0aXLl1U18OHD0dJSYmIaHqPS83JIC1fvlztR9rIyAi9evXCxx9/zP1ORO3w6NEjTJw4EQUFBXjy5Ans7e1RVVUFb29vpKenw9zcXHREYWQyWbP3JBKJQRcH1DZyuRyenp549eqV6ChCbdq0Se36/xumJiQkCEomnru7OyIiIhAdHa3a/iOTyRAREYG+fftixYoVoiOSjunWrRvy8/MxbNiwJu9fvHgRXl5eqK2t1XIy/ccZbzJIXB5D1DGsrKyQlZWF06dP48KFC3j69Ck8PT3h6+srOppw169fFx2BqFOKjY1tcvxNw1RDVlZWhoCAAABAly5d8OzZM0gkEsyfPx9jxoxh4U2NODg44Ny5c80W3gUFBS2+SKbmGYkOQKRNRkZGMDY2bvHfO+/wfRRRe40ePRpRUVFYtGgRi24iEsLf3x+HDh0SHUMoGxsbPHnyBAAglUpx6dIlAK87V3PGkpoSHByMpUuX4s6dO43uVVVVYdmyZdym0EasMMigpKWlNXsvLy8PKSkpaGho0GIios4nOzsbGzduRFFREQBgyJAhmDdvHgtwAH/99ReOHj3aZJOjDRs2CEpFuiokJKTF+zU1NdoJoqfYMBXw8fFBVlYW3NzcEBYWhtjYWOTk5CArKwtjx44VHY900KJFi3Do0CE4Oztj6tSpePfddwEA165dw08//QSpVMpjMduIe7zJ4F27dg0JCQk4duwYJk+ejJUrV2LgwIGiYxHppa1btyI2NhYTJ05UHXt09uxZHDx4EBs3bkR0dLTghOJkZ2cjMDAQDg4OuHr1KoYNG4aKigoolUp4enoiJydHdETSMf90PvUbhn5O9T81TJ01a5bAdGJVV1dDoVDA3t4eDQ0NSE5ORm5uLpydnbF06VLY2NiIjkg66OHDh1i8eDEOHDigesFnbW2NL774AqtXrzb4F1ptxcKbDNbff/+NZcuWYdeuXRg3bhzWrFnT7H4WImqdfv36ISEhAXPmzFEb37JlC1avXo1bt24JSibeyJEj4e/vjxUrVqiaHPXu3RuTJ0/Gp59+itmzZ4uOSKSX2DC1saaOdWyKpaVlBychfaZUKnHv3j0AQK9evZo8PeDMmTN47733YGpqqu14eoeFNxmcR48eYfXq1di8eTNGjBiBpKQknoFKpCHdu3dHYWEhnJyc1MZLSkrg4eGBp0+fCkomnoWFBQoLC+Ho6AgbGxucPn0arq6ukMvlmDBhAioqKkRHJKJOwsjIqMUj1t4w9I741H6WlpYoLCxUnfNNzeMebzIoycnJSEpKgp2dHfbu3YsJEyaIjkTUqQQGBiItLQ1xcXFq40eOHMFnn30mKJVuMDc3V+3r7tu3L8rKyuDq6goAuH//vshoRHqpNcWlRCJBfX29lhLpjpMnT6o+K5VKjB8/Hjt27IBUKhWYijojzuG2Hme8yaAYGRnBzMwMvr6+MDY2bva51NRULaYi6jxWrVqF9evX48MPP1Tb433mzBksWLBAbVnj3LlzRcUUIigoCAEBAZg5cyYWLlyII0eOIDw8HKmpqbCxscGJEydERyTSK0eOHGn23tsNUxUKhRZT6aY321s4K0maxu9W67HwJoMSHh7eqqVXht6ohqitWnu2p0QiQXl5eQen0S3l5eV4+vQp3N3d8ezZMyxYsEDV5GjDhg1s6kikAWyY2jQWR9RR+N1qPRbeRERERKTX2DC1ZSyOqKPwu9V6RqIDEBGR4bG0tDS4GW8HBwc8ePCg0XhNTQ3/YCFqo0ePHiE+Ph5OTk64fPkysrOzcezYMRbdTWjNij+if4vfq9ZjczUiItI6Q1xsVVFR0WQH4RcvXhj0MWtEbcWGqc0LCQlRu1YoFIiMjIS5ubnaOHvaUHsZ4u95W7HwJiIi6kBHjx5VfT5+/DisrKxU169evUJ2djYGDRokIBmRfktISICZmRmcnJywa9cu7Nq1q8nnDLG4fPv/GQCYMmWKoCSkr54/fw6lUolu3boBAG7cuIG0tDQMHToUfn5+queePHkiKqLe4R5vIiLSOkPaE2Zk9HpXl0QiaTQzYGJigkGDBuHbb781+OPWiP4tNkwl6jh+fn4ICQlBZGQkampq4OLiAhMTE9y/fx8bNmzA7NmzRUfUOyy8iYhI6wyp8H5DJpPhjz/+gK2tregoRERELbK1tcWpU6fg6uqKHTt2YPPmzTh//jwOHTqExMREFBUViY6od7jUnIiItM4Qm7Fcv3690VhNTQ2sra21H4aIiKgFtbW1sLCwAABkZmYiJCQERkZGGDVqFG7cuCE4nX5iV3MiItI6Q1xslZSUhP3796uuw8LC0KNHD0ilUsjlcoHJiIiI1Dk5OeHw4cO4efMmjh8/rtrXfffuXVhaWgpOp59YeBMRkcbV1dXh2rVrqK+vb/L+L7/8AqlUquVUYm3btg39+/cHAGRlZeHEiRPIyMiAv78/4uLiBKcjIiL6n8TERCxcuBCDBg2Cl5cXvL29Abye/fbw8BCcTj9xjzcREWlMbW0tYmJiVN2Fi4uL4eDggJiYGEilUiQkJAhOKI6ZmRmKi4vRv39/xMbGQqFQ4LvvvkNxcTG8vLzw8OFD0RGJiIhUqqqqcPv2bQwfPlzVKDQ/Px+WlpZwcXERnE7/cMabiIg0ZvHixZDL5fj111/RtWtX1bivr6/aMmtDZGNjg5s3bwIAMjIy4OvrC+D1svumzvcmIiISyc7ODh4eHqqiGwBGjhzJoruN2FyNiIg05vDhw9i/fz9GjRql1kDN1dUVZWVlApOJFxISgkmTJsHZ2RkPHjyAv78/AOD8+fNwcnISnI6IiEhdQUEBDhw4gMrKStTV1andS01NFZRKf3HGm4iINObevXvo3bt3o/Fnz54ZZCfzt23cuBFz5szB0KFDkZWVhe7duwMAbt++jaioKMHpiIiI/mffvn344IMPUFRUhLS0NLx8+RKXL19GTk4OrKysRMfTS9zjTUREGuPj44OwsDDExMTAwsICFy5cgEwmQ0xMDEpKSpCRkSE6IhEREf0Dd3d3REREIDo6GhYWFpDL5ZDJZIiIiEDfvn2xYsUK0RH1DpeaExGRxqxevRr+/v64cuUK6uvrsWnTJly5cgW5ubk4deqU6Hhad/ToUfj7+8PExARHjx5t8dnAwEAtpSIiImpZWVkZAgICAABdunRRrVybP38+xowZw8K7DVh4ExGRxowePRqFhYVYu3Yt3NzckJmZCU9PT+Tl5cHNzU10PK0LCgpCVVUVevfujaCgoGafk0gkbLBGREQ6w8bGBk+ePAEASKVSXLp0CW5ubqipqUFtba3gdPqJhTcREWmUo6Mjtm/fLjqGTmhoaGjyMxERkS7z8fFBVlYW3NzcEBYWhtjYWOTk5CArKwtjx44VHU8vcY83ERFpTHp6OoyNjTFu3Di18ePHj6OhoUHVydvQNDQ0YOfOnUhNTUVFRQUkEgkcHBwQGhqKqVOnGnzjOSIi0i3V1dVQKBSwt7dHQ0MDkpOTkZubC2dnZyxduhQ2NjaiI+odFt5ERKQx7u7uWLt2LcaPH682npGRgfj4eMjlckHJxFEqlfj888+Rnp6O4cOHw8XFBUqlEkVFRbh48SICAwNx+PBh0TGJiIjw+PHjVj1naWnZwUk6Hy41JyIijSkpKcHQoUMbjbu4uKC0tFRAIvF27tyJ3377DdnZ2fjkk0/U7uXk5CAoKAi7d+/GtGnTBCUkIiJ6zdraulWrsNiX5N9j4U1ERBpjZWWF8vJyDBo0SG28tLQU5ubmYkIJtnfvXixZsqRR0Q0AY8aMQUJCAvbs2cPCm4iIhDt58qTqs1KpxPjx47Fjxw5IpVKBqToHLjUnIiKNiYiIQF5eHtLS0uDo6AjgddEdGhqK999/Hzt27BCcUPvs7OyQkZGBESNGNHn//Pnz8Pf3R1VVlXaDERER/YM3Z3g7ODiIjqL3jEQHICKiziM5ORnm5uZwcXGBTCaDTCbDkCFD0LNnT6xfv150PCGqq6vRp0+fZu/36dMHDx8+1GIiIiIi0jYuNSciIo2xsrJCbm4usrKyIJfLYWZmBnd3d/j4+IiOJsyrV6/wzjvN/9waGxujvr5ei4mIiIhI21h4ExGRRkkkEvj5+cHPz090FJ2gVCoRHh4OU1PTJu+/ePFCy4mIiIhaj0deagYLbyIiapeUlBTMmjULXbt2RUpKSovPzp07V0updMf06dP/8Rk2ViMiIl0QEhKidq1QKBAZGdmoQWpqaqo2Y3UKbK5GRETtIpPJUFBQgJ49e0ImkzX7nEQiQXl5uRaTERER0b8xY8aMVj33448/dnCSzoeFNxEREREREVEHYldzIiLSiJcvX8LR0RFFRUWioxARERHpFBbeRESkESYmJlAoFKJjEBEREekcFt5ERKQx0dHRSEpK4vFYRERERG/hHm8iItKY4OBgZGdno3v37nBzc2MXVCIiIiLwODEiItIga2trhIaGio5BREREpFNYeBMRUbs1NDRg3bp1KC4uRl1dHcaMGYPly5fDzMxMdDQiIiIi4bjHm4iI2u2bb77BkiVL0L17d0ilUqSkpCA6Olp0LCIiIiKdwD3eRETUbs7Ozli4cCEiIiIAACdOnEBAQACeP38OIyO+4yUiIiLDxsKbiIjazdTUFKWlpejfv79qrGvXrigtLUW/fv0EJiMiIiISj9MQRETUbvX19ejatavamImJCV6+fCkoEREREZHuYHM1IiJqN6VSifDwcJiamqrGFAoFIiMj1Y4U43FiREREZIhYeBMRUbtNnz690diUKVMEJCEiIiLSPdzjTURERERERNSBuMebiIiIiIiIqAOx8CYiIiIiIiLqQCy8iYiIiIiIiDoQC28iIiIiIiKiDsTCm4iIiIiIiKgDsfAmIiIiIiIi6kAsvImIiIiIiIg60H8BSYp629dHjAIAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "# 获取特征重要性\n",
    "feature_importances = best_rf_model.feature_importances_\n",
    "\n",
    "# 排序特征重要性\n",
    "indices = np.argsort(feature_importances)[::-1]\n",
    "\n",
    "# 绘制特征重要性\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.title(\"Feature Importances\")\n",
    "plt.bar(range(X_train.shape[1]), feature_importances[indices],\n",
    "       color=\"r\", align=\"center\")\n",
    "plt.xticks(range(X_train.shape[1]), X_train.columns[indices], rotation=90)\n",
    "plt.xlim([-1, X_train.shape[1]])\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
